Spatial_GEVD.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/slcodia/PhilSaDataCamp-Codia/blob/main/Spatial_GEVD.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fw_NpV9L3_5D"
      },
      "source": [
        "Preliminaries: package installation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BkdhuH01ln4R"
      },
      "outputs": [],
      "source": [
        "!pip install pandas fiona shapely pyproj rtree folium matplotlib mapclassify\n",
        "!pip install geopandas\n",
        "!pip install openturns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KnosF4I14PyR",
        "outputId": "3d4ffda2-917e-4a73-9b6f-7d5e50494941"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vr1DXuNYl1iu"
      },
      "outputs": [],
      "source": [
        "import geopandas as gpd\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wT3iQquFJ82R"
      },
      "source": [
        "# **Estimating Probabilities of Extreme Rainfalls in the Philippines**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g45bTL3V3UhB"
      },
      "source": [
        "In analyzing extreme rainfalls, we can analyze the historical maximum rainfall that occured."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QolBcsxj-HB8"
      },
      "outputs": [],
      "source": [
        "# other preliminaries to mapping\n",
        "import matplotlib.pyplot as plt\n",
        "# provincial shape file for mapping\n",
        "province_loc = \"drive/MyDrive/Colab Notebooks/Data/provinces/provinces.geojson\"\n",
        "province = gpd.read_file(province_loc)\n",
        "\n",
        "# reading historical rainfall maxima per station\n",
        "stations = pd.read_csv(\"drive/MyDrive/Colab Notebooks/Data/NOAA PH Weather Stations.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        },
        "id": "NQQ_gbpLy1Wo",
        "outputId": "2aa7ca7e-ae91-4287-9ed9-7c16192c45a8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Historical Single Day Rainfall Amount (mm) Recorded by PH Weather Stations')"
            ]
          },
          "metadata": {},
          "execution_count": 111
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# plotting historical maximum 1-day rainfall (Rx1day) per station\n",
        "\n",
        "fig, ax1 = plt.subplots(figsize=(10, 10))\n",
        "\n",
        "# basemap\n",
        "province.plot(ax=ax1, alpha = 0.1)\n",
        "\n",
        "# layer\n",
        "plot_stations = gpd.GeoDataFrame(stations, geometry=gpd.points_from_xy(stations.LON, stations.LAT), crs = 4326)\n",
        "plot_stations.plot(ax = ax1,column = 'Rx1day (mm)', legend = True)\n",
        "plt.title(\"Historical Single Day Rainfall Amount (mm) Recorded by PH Weather Stations\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oDvnxGlO3sQh"
      },
      "source": [
        "Data Sources: \n",
        "\n",
        "*   https://www.pagasa.dost.gov.ph/climate/climate-data\n",
        "*   ftp://ftp.ncdc.noaa.gov/pub/data/gsod/\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9vAGPJUR_A-k"
      },
      "source": [
        "An initial analysis for this is that north and eastern part of the country **experienced** the highest rainfall magnitude compared to the other parts of the country. \n",
        "\n",
        "However, this does not answer the question \"how frequent are these extreme events?\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sEyXOF_KNc1A"
      },
      "source": [
        "# **Return Period and Return Levels**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xUZyKBgYMe9f"
      },
      "source": [
        "**Obtaining probabilities is very important for risk assessment in the Philippines, especially that we are ranked 1 in the World Risk Index (World Risk Report 2022)** and is more insightful if we analyze the probabilities of the extreme events. \n",
        "\n",
        "In probabilistic risk assessment in hydrology and flood modelling, the concept of \"**return periods**\" or \"**recurrence intervals**\" is commonly used.\n",
        "\n",
        "For example, if a 400 mm of rainfall is a 50-year return period event, then it has a 1/50 = 2% chance of being exceeded within a year. Another intuitive interpretation is that a 400 mm of rainfall is expected to happen once every 50 years.\n",
        "\n",
        "Another example: how can we assure that a dam to be constructed can last at least 100 years if we do not have 100 years worth of data? Using current data, we will extrapolate and estimate the single day rainfall magnitude that will exist once in every 100 years."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EYrNgeXLM6OI"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "of2Dt2h1yvzI"
      },
      "source": [
        "With this approach, even if we don't have a historically long data (i.e. observed data does not cover 50-100 years), we can determine the amount of rainfall that is exceeded once every 50 years, once every 100 years, and so on, to assist planning big ticket infrastructures such as dams and bridges.\n",
        "\n",
        "This is also helpful in estimating more frequent extreme events, such as 5-year, 10-year, and 15-year return levels since these are the events that people encounter much often, which has great utility in disaster risk reduction and mitigation.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O2-hULHub5hz"
      },
      "source": [
        "## Reading Rainfall Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "g-SMNK8tQH7d",
        "outputId": "74b0b0ed-0af6-4841-c475-b4a8ca8adc7c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Warning: Total number of columns (56) exceeds max_columns (20). Falling back to pandas display.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   YEAR    Laoag  Sinait-Vigan  Dagupan   Baguio  Basco Radar  Itbayat  \\\n",
              "0  1981  400.050       115.062  109.982  214.884          NaN      NaN   \n",
              "1  1982   66.040        16.002   33.020  208.026          NaN      NaN   \n",
              "2  1983   16.002        17.018   23.876  300.990          NaN      NaN   \n",
              "3  1984   25.908           NaN   23.876   89.916          NaN      NaN   \n",
              "4  1985  214.122        27.940   93.980  121.920          NaN      NaN   \n",
              "\n",
              "    Aparri  Calayan  Tuguegarao  ...  Dipolog  Zamboanga  Malaybalay  \\\n",
              "0  375.500   27.940     260.096  ...   36.068     48.006         NaN   \n",
              "1  130.048      NaN      35.052  ...   55.880     91.948         NaN   \n",
              "2   99.060    1.016      41.910  ...   70.104     39.878     119.888   \n",
              "3    6.096      NaN      20.066  ...   58.928    121.920     119.888   \n",
              "4   94.996      NaN      22.098  ...   46.990     55.118         NaN   \n",
              "\n",
              "   Lumbia-El Salvador  Davao City  General Santos   Butuan  Hinatuan  Surigao  \\\n",
              "0              17.018      99.060           7.112   27.940   320.040      NaN   \n",
              "1                 NaN         NaN             NaN  134.112    75.946      NaN   \n",
              "2              45.974      17.018          30.988  107.950    34.036      NaN   \n",
              "3             219.964         NaN         114.046   96.012    24.892    13.97   \n",
              "4              28.956      49.022           3.048   77.978    41.910    41.91   \n",
              "\n",
              "   Cotabato  \n",
              "0       NaN  \n",
              "1       NaN  \n",
              "2       NaN  \n",
              "3       NaN  \n",
              "4       NaN  \n",
              "\n",
              "[5 rows x 56 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b75db067-9961-4916-991d-61d977b50811\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>YEAR</th>\n",
              "      <th>Laoag</th>\n",
              "      <th>Sinait-Vigan</th>\n",
              "      <th>Dagupan</th>\n",
              "      <th>Baguio</th>\n",
              "      <th>Basco Radar</th>\n",
              "      <th>Itbayat</th>\n",
              "      <th>Aparri</th>\n",
              "      <th>Calayan</th>\n",
              "      <th>Tuguegarao</th>\n",
              "      <th>...</th>\n",
              "      <th>Dipolog</th>\n",
              "      <th>Zamboanga</th>\n",
              "      <th>Malaybalay</th>\n",
              "      <th>Lumbia-El Salvador</th>\n",
              "      <th>Davao City</th>\n",
              "      <th>General Santos</th>\n",
              "      <th>Butuan</th>\n",
              "      <th>Hinatuan</th>\n",
              "      <th>Surigao</th>\n",
              "      <th>Cotabato</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1981</td>\n",
              "      <td>400.050</td>\n",
              "      <td>115.062</td>\n",
              "      <td>109.982</td>\n",
              "      <td>214.884</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>375.500</td>\n",
              "      <td>27.940</td>\n",
              "      <td>260.096</td>\n",
              "      <td>...</td>\n",
              "      <td>36.068</td>\n",
              "      <td>48.006</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17.018</td>\n",
              "      <td>99.060</td>\n",
              "      <td>7.112</td>\n",
              "      <td>27.940</td>\n",
              "      <td>320.040</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1982</td>\n",
              "      <td>66.040</td>\n",
              "      <td>16.002</td>\n",
              "      <td>33.020</td>\n",
              "      <td>208.026</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>130.048</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.052</td>\n",
              "      <td>...</td>\n",
              "      <td>55.880</td>\n",
              "      <td>91.948</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>134.112</td>\n",
              "      <td>75.946</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1983</td>\n",
              "      <td>16.002</td>\n",
              "      <td>17.018</td>\n",
              "      <td>23.876</td>\n",
              "      <td>300.990</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>99.060</td>\n",
              "      <td>1.016</td>\n",
              "      <td>41.910</td>\n",
              "      <td>...</td>\n",
              "      <td>70.104</td>\n",
              "      <td>39.878</td>\n",
              "      <td>119.888</td>\n",
              "      <td>45.974</td>\n",
              "      <td>17.018</td>\n",
              "      <td>30.988</td>\n",
              "      <td>107.950</td>\n",
              "      <td>34.036</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1984</td>\n",
              "      <td>25.908</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23.876</td>\n",
              "      <td>89.916</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.096</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.066</td>\n",
              "      <td>...</td>\n",
              "      <td>58.928</td>\n",
              "      <td>121.920</td>\n",
              "      <td>119.888</td>\n",
              "      <td>219.964</td>\n",
              "      <td>NaN</td>\n",
              "      <td>114.046</td>\n",
              "      <td>96.012</td>\n",
              "      <td>24.892</td>\n",
              "      <td>13.97</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1985</td>\n",
              "      <td>214.122</td>\n",
              "      <td>27.940</td>\n",
              "      <td>93.980</td>\n",
              "      <td>121.920</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>94.996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22.098</td>\n",
              "      <td>...</td>\n",
              "      <td>46.990</td>\n",
              "      <td>55.118</td>\n",
              "      <td>NaN</td>\n",
              "      <td>28.956</td>\n",
              "      <td>49.022</td>\n",
              "      <td>3.048</td>\n",
              "      <td>77.978</td>\n",
              "      <td>41.910</td>\n",
              "      <td>41.91</td>\n",
              "      <td>NaN</td>\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ],
      "source": [
        "rainfall_max = pd.read_csv(\"drive/MyDrive/Colab Notebooks/Data/max.spread.csv\")\n",
        "rainfall_max.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zLJpf6sraBcj"
      },
      "source": [
        "## Fitting Univariate GEVD per station"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8zrRqEn3bB9b"
      },
      "source": [
        "Will just fit multiple univariate distributions by estimating the location $\\mu$, scale $\\sigma$, and shape $\\xi$ parameters in each station using Maximum Likelihood Estimation. We will use the `openturns` package to fit a distribution."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-DRDFdxvaAos"
      },
      "outputs": [],
      "source": [
        "import openturns as ot\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Yio_YBPRNgU"
      },
      "source": [
        "After estimating the distribution, return levels can be computed. As a preliminary, note that the $p^{th}$ quantile of a random variable that follows GEV distribution is \n",
        "\n",
        "\\begin{equation}\n",
        "  \\hat{x_p}=\\left\\{\n",
        "  \\begin{array}{@{}ll@{}}\n",
        "    {\\hat\\mu+\\frac{\\hat\\sigma(1-(-log(p))^\\hat\\xi)}{\\hat\\xi}}, & \\text{if}\\ \\hat\\xi \\neq 0\\ \\\\\n",
        "      {\\hat\\mu-\\hat\\sigma(log(-log(p))}, & \\text{if}\\ \\hat\\xi = 0\n",
        "  \\end{array}\\right.\n",
        "\\end{equation} \n",
        "\n",
        "\n",
        "Then, the T-year return level $x_T$ is calculated accordingly by setting \n",
        "$$\n",
        "p = 1-\\alpha=1-\\frac{1}{T}\n",
        "$$\n",
        "\n",
        "The following function `qgevd` computes the $p^{th}$ quantile from an estimated distribution."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nILdLfHdKyB8"
      },
      "outputs": [],
      "source": [
        "# return level function\n",
        "def qgevd(p, location, scale, shape):\n",
        "  \n",
        "  if shape !=0:\n",
        "    quantile = location + (scale*(1-(-np.log(p))**shape))/shape\n",
        "  elif shape ==0:\n",
        "    quantile = location - scale*(np.log(-np.log(p)))\n",
        "  \n",
        "  return quantile"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MF3WU9y9kPPg"
      },
      "source": [
        "The following code outputs a dataframe of parameters and T-year rainfall return level per station."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6qc8PTatuhIj"
      },
      "outputs": [],
      "source": [
        "# initialize the parameter dataframe\n",
        "pars = pd.DataFrame(columns=['station_name','location','scale','shape', 'rl_5', 'rl_10', 'rl_25','rl_50', 'rl_100'])\n",
        "\n",
        "for i in range(1,len(rainfall_max.columns)):\n",
        "    # getting specific column containing data from specific station i\n",
        "    station_data = rainfall_max.iloc[:, i] \n",
        "    # removing NaN\n",
        "    station_data = station_data[np.logical_not(np.isnan(station_data))] \n",
        "    # converting to ot.point object\n",
        "    sample = ot.Sample([[p] for p in station_data]) \n",
        "    # fitting a GEVD to the data\n",
        "    gev = ot.GeneralizedExtremeValueFactory().buildAsGeneralizedExtremeValue(sample) \n",
        "    # extracting the parameters\n",
        "    loc0 = list(gev.getParameter())[0]\n",
        "    scale0 = list(gev.getParameter())[1]\n",
        "    shape0 = -list(gev.getParameter())[2]\n",
        "\n",
        "    # n year return level calculation\n",
        "    rl_5 = qgevd(p = 1-1/5, location = loc0, scale = scale0, shape = shape0) \n",
        "    rl_10 = qgevd(p = 1-1/10, location = loc0, scale = scale0, shape = shape0) \n",
        "    rl_25 = qgevd(p = 1-1/25, location = loc0, scale = scale0, shape = shape0)\n",
        "    rl_50 = qgevd(p = 1-1/50, location = loc0, scale = scale0, shape = shape0)\n",
        "    rl_100 = qgevd(p = 1-1/100, location = loc0, scale = scale0, shape = shape0)\n",
        "\n",
        "    pars_temp = pd.DataFrame([[rainfall_max.columns[i], loc0, scale0, shape0, rl_5, rl_10, rl_25, rl_50, rl_100]], \n",
        "                             columns=['station_name','location','scale','shape', 'rl_5', 'rl_10', 'rl_25','rl_50', 'rl_100'], \n",
        "                             index = [i-1]) \n",
        "    # appending the parameters to the pars dataframe\n",
        "    pars = pars.append(pars_temp)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 2844
        },
        "id": "p5mGXSDn65dX",
        "outputId": "34cdefc4-dc29-49d4-e4de-92becf709b0f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Region Administrative Province         Station Name     LAT      LON  \\\n",
              "0        I            llocos Norte                Laoag  18.178  120.532   \n",
              "1        I              llocos Sur         Sinait-Vigan  17.883  120.467   \n",
              "2        I              Pangasinan              Dagupan  16.082  120.350   \n",
              "3      CAR                 Benguet               Baguio  16.400  120.600   \n",
              "4       II                 Batanes          Basco Radar  20.433  121.967   \n",
              "5       II                 Batanes              Itbayat  20.800  121.850   \n",
              "6       II                 Cagayan               Aparri  18.367  121.633   \n",
              "7       II                 Cagayan              Calayan  19.267  121.467   \n",
              "8       II                 Cagayan           Tuguegarao  17.633  121.750   \n",
              "9      III                  Aurora          Baler Radar  15.750  121.633   \n",
              "10     III                  Aurora            Casiguran  16.267  122.133   \n",
              "11     III                Pampanga                Clark  15.183  120.550   \n",
              "12     III             Nueva Ecija           Cabanatuan  15.467  120.950   \n",
              "13     III                Zambales                  Iba  15.333  119.967   \n",
              "14     III                Zambales  Cubi Pt., Subic Bay  14.800  120.267   \n",
              "15    IV-A                Batangas             Ambulong  14.083  121.050   \n",
              "16    IV-A                  Cavite        Sangley Point  14.495  120.904   \n",
              "17    IV-A                  Quezon               Alabat  14.100  122.017   \n",
              "18    IV-A                  Quezon              Infanta  14.750  121.650   \n",
              "19    IV-A                  Quezon              Tayabas  14.017  121.600   \n",
              "20    IV-A                   Rizal                Tanay  14.583  121.367   \n",
              "21    IV-B      Occidental Mindoro             San Jose  12.367  121.050   \n",
              "22    IV-B        Oriental Mindoro              Calapan  13.417  121.183   \n",
              "23    IV-B                 Palawan                Coron  12.220  120.200   \n",
              "24    IV-B                 Palawan                 Cuyo  10.850  121.000   \n",
              "25    IV-B                 Palawan      Puerto Princesa   9.733  118.767   \n",
              "26    IV-B                 Romblon              Romblon  12.583  122.283   \n",
              "27     NCR            Metro Manila           NAIA (MIA)  14.509  121.020   \n",
              "28     NCR            Metro Manila      Port Area (MCO)  14.583  120.983   \n",
              "29     NCR            Metro Manila       Science Garden  14.650  121.050   \n",
              "30       V                   Albay              Legazpi  13.133  123.733   \n",
              "31       V         Camarines Norte                 Daet  14.133  122.983   \n",
              "32       V             Catanduanes          Virac Synop  13.600  124.217   \n",
              "33       V                 Masbate              Masbate  12.367  123.633   \n",
              "34      VI                   Capiz           Roxas City  11.600  122.750   \n",
              "35      VI                  lloilo               Iloilo  10.713  122.541   \n",
              "36     VII                   Bohol     Tagbilaran-Dauis   9.667  123.850   \n",
              "37     VII                    Cebu               Mactan  10.317  123.983   \n",
              "38     VII         Negros Oriental            Dumaguete   9.333  123.300   \n",
              "39    VIII           Eastern Samar             Borongan  11.667  125.450   \n",
              "40    VIII           Eastern Samar               Guiuan  11.036  125.742   \n",
              "41    VIII                   Leyte             Tacloban  11.228  125.028   \n",
              "42    VIII          Northern Samar             Catarman  12.500  124.633   \n",
              "43    VIII          Southern Leyte               Maasin  10.133  124.867   \n",
              "44    VIII           Western Samar           Catbalogan  11.783  124.883   \n",
              "45      IX     Zamboanga Del Norte              Dipolog   8.600  123.350   \n",
              "46      IX       Zamboanga del Sur            Zamboanga   6.917  122.067   \n",
              "47       X                Bukidnon           Malaybalay   8.150  125.133   \n",
              "48       X        Misamis Oriental   Lumbia-El Salvador   8.417  124.617   \n",
              "49      XI           Davao Del Sur           Davao City   7.126  125.646   \n",
              "50     XII          South Cotabato       General Santos   6.050  125.100   \n",
              "51  CARAGA        Agusan Del Norte               Butuan   8.950  125.483   \n",
              "52  CARAGA         Surigao Del Sur             Hinatuan   8.367  126.333   \n",
              "53  CARAGA       Surigao Del Norte              Surigao   9.783  125.483   \n",
              "54   BARMM             Maguindanao             Cotabato   7.167  124.217   \n",
              "\n",
              "        ALT  Rx1day (mm) Period Covered                    geometry  \\\n",
              "0       7.6        564.2      1907-2018  POINT (120.53200 18.17800)   \n",
              "1     570.0        594.1      1903-2018  POINT (120.46700 17.88300)   \n",
              "2      20.0        722.6      1903-2018  POINT (120.35000 16.08200)   \n",
              "3   15010.0       1085.8      1902-2018  POINT (120.60000 16.40000)   \n",
              "4    1670.0        616.4      1903-2018  POINT (121.96700 20.43300)   \n",
              "5    1240.0        572.3      1971-2018  POINT (121.85000 20.80000)   \n",
              "6      30.0        453.1      1903-2018  POINT (121.63300 18.36700)   \n",
              "7     130.0        522.2      1919-2018  POINT (121.46700 19.26700)   \n",
              "8     620.0        349.7      1902-2018  POINT (121.75000 17.63300)   \n",
              "9    1780.0        675.6      1949-2018  POINT (121.63300 15.75000)   \n",
              "10     40.0        402.6      1919-2018  POINT (122.13300 16.26700)   \n",
              "11   1550.0        274.5      1997-2018  POINT (120.55000 15.18300)   \n",
              "12    320.0        297.2      1919-2018  POINT (120.95000 15.46700)   \n",
              "13     50.0        623.7      1903-2018  POINT (119.96700 15.33300)   \n",
              "14    190.0        436.4      1994-2018  POINT (120.26700 14.80000)   \n",
              "15    110.0        499.2      1919-2018  POINT (121.05000 14.08300)   \n",
              "16     40.0        475.4      1974-2018  POINT (120.90400 14.49500)   \n",
              "17     50.0        673.0      1952-2018  POINT (122.01700 14.10000)   \n",
              "18     70.0        339.0      1949-2018  POINT (121.65000 14.75000)   \n",
              "19   1580.0        557.7      1970-2018  POINT (121.60000 14.01700)   \n",
              "20   6510.0        331.8      2000-2018  POINT (121.36700 14.58300)   \n",
              "21     30.0        286.7      1980-2018  POINT (121.05000 12.36700)   \n",
              "22    410.0        277.4      1919-2018  POINT (121.18300 13.41700)   \n",
              "23    600.0        317.6      1949-2018  POINT (120.20000 12.22000)   \n",
              "24     40.0        294.4      1902-2018  POINT (121.00000 10.85000)   \n",
              "25    150.0        269.3      1949-2018   POINT (118.76700 9.73300)   \n",
              "26    470.0        385.8      1904-2018  POINT (122.28300 12.58300)   \n",
              "27     22.9        472.4      1947-2018  POINT (121.02000 14.50900)   \n",
              "28    130.0        403.1      1865-2018  POINT (120.98300 14.58300)   \n",
              "29    460.0        455.0      1961-2018  POINT (121.05000 14.65000)   \n",
              "30    170.0        484.6      1902-2018  POINT (123.73300 13.13300)   \n",
              "31     40.0        507.5      1920-2018  POINT (122.98300 14.13300)   \n",
              "32    400.0        494.2      1908-2018  POINT (124.21700 13.60000)   \n",
              "33     60.0        603.5      1907-2018  POINT (123.63300 12.36700)   \n",
              "34     40.0        370.2      1903-2018  POINT (122.75000 11.60000)   \n",
              "35      8.2        319.8      1903-2010  POINT (122.54100 10.71300)   \n",
              "36     80.0        229.1      1903-2018   POINT (123.85000 9.66700)   \n",
              "37    240.0        276.1      1972-2018  POINT (123.98300 10.31700)   \n",
              "38     80.0        208.3      1910-2018   POINT (123.30000 9.33300)   \n",
              "39     30.0        427.8      1949-2018  POINT (125.45000 11.66700)   \n",
              "40      2.1        780.4      1973-2018  POINT (125.74200 11.03600)   \n",
              "41      3.0        325.9      1903-2018  POINT (125.02800 11.22800)   \n",
              "42     70.0        485.8      1919-2018  POINT (124.63300 12.50000)   \n",
              "43    720.0        281.9      1973-2018  POINT (124.86700 10.13300)   \n",
              "44     50.0        387.9      1919-2018  POINT (124.88300 11.78300)   \n",
              "45     50.0        295.8      1949-2018   POINT (123.35000 8.60000)   \n",
              "46     60.0        199.1      1902-2018   POINT (122.06700 6.91700)   \n",
              "47   6270.0        195.9      1949-2018   POINT (125.13300 8.15000)   \n",
              "48   1880.0        237.1      1977-2018   POINT (124.61700 8.41700)   \n",
              "49     29.3        242.6      1902-2018   POINT (125.64600 7.12600)   \n",
              "50    133.0        189.5      1949-2018   POINT (125.10000 6.05000)   \n",
              "51    460.0        271.6      1980-2018   POINT (125.48300 8.95000)   \n",
              "52     30.0        375.5      1949-2018   POINT (126.33300 8.36700)   \n",
              "53    550.0        566.4      1902-2018   POINT (125.48300 9.78300)   \n",
              "54    620.0        201.7      1986-2018   POINT (124.21700 7.16700)   \n",
              "\n",
              "           station_name    location       scale     shape        rl_5  \\\n",
              "0                 Laoag  197.394828  125.637875  0.312968  347.791715   \n",
              "1          Sinait-Vigan  127.858030   89.567592  0.257335  239.313535   \n",
              "2               Dagupan  128.930322   88.019835 -0.000000  260.954792   \n",
              "3                Baguio  261.078928  156.915378  0.626219  413.703436   \n",
              "4           Basco Radar  131.843027   48.866264 -0.000000  205.139491   \n",
              "5               Itbayat  137.426497   48.461714 -0.000000  210.116159   \n",
              "6                Aparri   97.583207   79.918297 -0.000000  217.455856   \n",
              "7               Calayan   49.940185   49.982384 -0.000000  124.910762   \n",
              "8            Tuguegarao  126.676301   63.258603 -0.000000  221.560410   \n",
              "9           Baler Radar  131.397837   52.175754 -0.000000  209.658337   \n",
              "10            Casiguran  151.490480   78.675103  0.222742  251.808820   \n",
              "11                Clark   85.975768   53.426880 -0.000000  166.112881   \n",
              "12           Cabanatuan   97.643741   46.633972 -0.000000  167.591901   \n",
              "13                  Iba  146.381234   82.155169  0.188577  253.714586   \n",
              "14  Cubi Pt., Subic Bay  194.279435  102.320517  0.429147  307.449638   \n",
              "15             Ambulong   94.940529   74.508585 -0.000000  206.698935   \n",
              "16        Sangley Point  128.199478   54.291530 -0.000000  209.633515   \n",
              "17               Alabat  126.029161   59.316632 -0.000000  215.000549   \n",
              "18              Infanta  141.302037   71.408172  0.281082  228.696336   \n",
              "19              Tayabas  142.613403   67.691851 -0.000000  244.147117   \n",
              "20                Tanay  113.645911   58.802038 -0.000000  201.845439   \n",
              "21             San Jose  110.260241   61.918066  0.382082  180.952424   \n",
              "22              Calapan  115.366531   67.125654  0.259719  198.756274   \n",
              "23                Coron   94.872957   41.838021 -0.000000  157.627478   \n",
              "24                 Cuyo   67.996734   42.004008 -0.000000  131.000225   \n",
              "25      Puerto Princesa   82.703001   41.697029 -0.000000  145.246042   \n",
              "26              Romblon   95.200562   70.724211 -0.000000  201.282634   \n",
              "27           NAIA (MIA)   74.319310   81.336198 -0.000000  196.318726   \n",
              "28      Port Area (MCO)  125.070124   50.868121 -0.000000  201.369252   \n",
              "29       Science Garden  120.035477   76.532093 -0.000000  234.829024   \n",
              "30              Legazpi  147.259594   71.512710 -0.000000  254.524366   \n",
              "31                 Daet  166.261321   83.543521 -0.000000  291.571589   \n",
              "32          Virac Synop  109.145215   59.403420 -0.000000  198.246780   \n",
              "33              Masbate   95.989159   64.633914  0.229973  177.982995   \n",
              "34           Roxas City  111.993938   54.044305 -0.000000  193.057153   \n",
              "35               Iloilo  100.375271   50.121733 -0.000000  175.554862   \n",
              "36     Tagbilaran-Dauis   79.383611   35.628605 -0.000000  132.824380   \n",
              "37               Mactan  100.786792   46.146602 -0.000000  170.003926   \n",
              "38            Dumaguete   68.189832   37.722110 -0.000000  124.770734   \n",
              "39             Borongan  114.633119   84.186265 -0.000000  240.907464   \n",
              "40               Guiuan  115.505399   49.879834 -0.000000  190.322156   \n",
              "41             Tacloban  106.673660   62.734474  0.250104  185.136299   \n",
              "42             Catarman  120.922927   75.665693 -0.000000  234.416925   \n",
              "43               Maasin   92.111320   72.560691  0.328187  178.063758   \n",
              "44           Catbalogan  119.914497   63.263942 -0.000000  214.806614   \n",
              "45              Dipolog   94.207890   44.534760 -0.000000  161.007358   \n",
              "46            Zamboanga   70.418530   31.358244 -0.000000  117.454014   \n",
              "47           Malaybalay   96.501660   31.982074  0.324708  134.477245   \n",
              "48   Lumbia-El Salvador   66.985568   43.033360 -0.000000  131.533024   \n",
              "49           Davao City   78.178818   39.424259 -0.000000  137.312840   \n",
              "50       General Santos   50.478281   33.541494 -0.000000  100.788509   \n",
              "51               Butuan   91.290882   37.164093 -0.000000  147.034792   \n",
              "52             Hinatuan  118.894742   68.794405 -0.000000  222.082220   \n",
              "53              Surigao  132.274502   83.462794  0.301759  232.963579   \n",
              "54             Cotabato   60.493031   40.181194  0.216483  111.955772   \n",
              "\n",
              "         rl_10       rl_25       rl_50      rl_100  \n",
              "0   400.339673  451.306790  480.457813  503.694190  \n",
              "1   280.863326  323.094247  348.397584  369.369054  \n",
              "2   327.007283  410.464780  472.378319  533.834698  \n",
              "3   450.430777  477.843988  489.889935  497.598555  \n",
              "4   241.810071  288.143447  322.516193  356.635135  \n",
              "5   246.483154  292.432948  326.521131  360.357612  \n",
              "6   277.428731  353.204618  409.419499  465.219299  \n",
              "7   162.418909  209.810554  244.968382  279.866611  \n",
              "8   269.031395  329.011111  373.507490  417.675315  \n",
              "9   248.812450  298.283775  334.984430  371.414093  \n",
              "10  290.736376  331.472276  356.594143  377.926244  \n",
              "11  206.205872  256.863473  294.444175  331.747387  \n",
              "12  202.587309  246.804099  279.606641  312.166973  \n",
              "13  297.039223  343.702108  373.309613  399.060008  \n",
              "14  341.937193  372.280758  388.025507  399.594059  \n",
              "15  262.612214  333.258791  385.668457  437.691138  \n",
              "16  250.375364  301.852798  340.041699  377.948619  \n",
              "17  259.513371  315.755440  357.479020  398.894519  \n",
              "18  260.388896  291.963483  310.510544  325.628636  \n",
              "19  294.944933  359.128108  406.742854  454.006020  \n",
              "20  245.972096  301.726244  343.087856  384.144061  \n",
              "21  203.727354  224.571778  235.823435  244.367988  \n",
              "22  229.757391  261.203513  280.007513  295.566292  \n",
              "23  189.023874  228.693302  258.122350  287.334099  \n",
              "24  162.521181  202.347992  231.893795  261.221437  \n",
              "25  176.536632  216.072376  245.402250  274.515556  \n",
              "26  254.356015  321.414373  371.162094  420.542485  \n",
              "27  257.355632  334.475925  391.688164  448.477957  \n",
              "28  239.542081  287.773551  323.554411  359.071071  \n",
              "29  292.260799  364.826000  418.659011  472.094527  \n",
              "30  308.189459  375.995445  426.297800  476.228729  \n",
              "31  354.264931  433.478136  492.243016  550.573985  \n",
              "32  242.824731  299.149089  340.933716  382.409812  \n",
              "33  209.534833  242.351728  262.468337  279.463884  \n",
              "34  233.613477  284.856500  322.871502  360.605808  \n",
              "35  213.167580  260.691350  295.947197  330.942721  \n",
              "36  159.561059  193.342924  218.404242  243.280510  \n",
              "37  204.633598  248.388280  280.848003  313.068049  \n",
              "38  153.078437  188.845294  215.379192  241.717168  \n",
              "39  304.083139  383.905772  443.122761  501.902501  \n",
              "40  227.753348  275.047757  310.133451  344.960078  \n",
              "41  214.633117  244.796605  262.978902  278.125007  \n",
              "42  291.198530  362.942239  416.165820  468.996407  \n",
              "43  207.565075  235.815243  251.768713  264.350324  \n",
              "44  262.281606  322.266384  366.766519  410.938072  \n",
              "45  194.427460  236.653847  267.979793  299.074433  \n",
              "46  140.986098  170.718947  192.776474  214.671131  \n",
              "47  147.564748  160.133897  167.252656  172.880533  \n",
              "48  163.826434  204.629242  234.899097  264.945443  \n",
              "49  166.897882  204.278661  232.009858  259.536293  \n",
              "50  125.958964  157.761900  181.355134  204.774160  \n",
              "51  174.923743  210.161507  236.302894  262.251256  \n",
              "52  273.707423  338.936002  387.326289  435.359269  \n",
              "53  268.607535  303.506499  323.655165  339.842421  \n",
              "54  132.070411  153.230843  166.348737  177.536707  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ba6e070c-26f4-4137-b2f0-322ed935b478\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Region</th>\n",
              "      <th>Administrative Province</th>\n",
              "      <th>Station Name</th>\n",
              "      <th>LAT</th>\n",
              "      <th>LON</th>\n",
              "      <th>ALT</th>\n",
              "      <th>Rx1day (mm)</th>\n",
              "      <th>Period Covered</th>\n",
              "      <th>geometry</th>\n",
              "      <th>station_name</th>\n",
              "      <th>location</th>\n",
              "      <th>scale</th>\n",
              "      <th>shape</th>\n",
              "      <th>rl_5</th>\n",
              "      <th>rl_10</th>\n",
              "      <th>rl_25</th>\n",
              "      <th>rl_50</th>\n",
              "      <th>rl_100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>I</td>\n",
              "      <td>llocos Norte</td>\n",
              "      <td>Laoag</td>\n",
              "      <td>18.178</td>\n",
              "      <td>120.532</td>\n",
              "      <td>7.6</td>\n",
              "      <td>564.2</td>\n",
              "      <td>1907-2018</td>\n",
              "      <td>POINT (120.53200 18.17800)</td>\n",
              "      <td>Laoag</td>\n",
              "      <td>197.394828</td>\n",
              "      <td>125.637875</td>\n",
              "      <td>0.312968</td>\n",
              "      <td>347.791715</td>\n",
              "      <td>400.339673</td>\n",
              "      <td>451.306790</td>\n",
              "      <td>480.457813</td>\n",
              "      <td>503.694190</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>I</td>\n",
              "      <td>llocos Sur</td>\n",
              "      <td>Sinait-Vigan</td>\n",
              "      <td>17.883</td>\n",
              "      <td>120.467</td>\n",
              "      <td>570.0</td>\n",
              "      <td>594.1</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (120.46700 17.88300)</td>\n",
              "      <td>Sinait-Vigan</td>\n",
              "      <td>127.858030</td>\n",
              "      <td>89.567592</td>\n",
              "      <td>0.257335</td>\n",
              "      <td>239.313535</td>\n",
              "      <td>280.863326</td>\n",
              "      <td>323.094247</td>\n",
              "      <td>348.397584</td>\n",
              "      <td>369.369054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>I</td>\n",
              "      <td>Pangasinan</td>\n",
              "      <td>Dagupan</td>\n",
              "      <td>16.082</td>\n",
              "      <td>120.350</td>\n",
              "      <td>20.0</td>\n",
              "      <td>722.6</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (120.35000 16.08200)</td>\n",
              "      <td>Dagupan</td>\n",
              "      <td>128.930322</td>\n",
              "      <td>88.019835</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>260.954792</td>\n",
              "      <td>327.007283</td>\n",
              "      <td>410.464780</td>\n",
              "      <td>472.378319</td>\n",
              "      <td>533.834698</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CAR</td>\n",
              "      <td>Benguet</td>\n",
              "      <td>Baguio</td>\n",
              "      <td>16.400</td>\n",
              "      <td>120.600</td>\n",
              "      <td>15010.0</td>\n",
              "      <td>1085.8</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (120.60000 16.40000)</td>\n",
              "      <td>Baguio</td>\n",
              "      <td>261.078928</td>\n",
              "      <td>156.915378</td>\n",
              "      <td>0.626219</td>\n",
              "      <td>413.703436</td>\n",
              "      <td>450.430777</td>\n",
              "      <td>477.843988</td>\n",
              "      <td>489.889935</td>\n",
              "      <td>497.598555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>II</td>\n",
              "      <td>Batanes</td>\n",
              "      <td>Basco Radar</td>\n",
              "      <td>20.433</td>\n",
              "      <td>121.967</td>\n",
              "      <td>1670.0</td>\n",
              "      <td>616.4</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (121.96700 20.43300)</td>\n",
              "      <td>Basco Radar</td>\n",
              "      <td>131.843027</td>\n",
              "      <td>48.866264</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>205.139491</td>\n",
              "      <td>241.810071</td>\n",
              "      <td>288.143447</td>\n",
              "      <td>322.516193</td>\n",
              "      <td>356.635135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>II</td>\n",
              "      <td>Batanes</td>\n",
              "      <td>Itbayat</td>\n",
              "      <td>20.800</td>\n",
              "      <td>121.850</td>\n",
              "      <td>1240.0</td>\n",
              "      <td>572.3</td>\n",
              "      <td>1971-2018</td>\n",
              "      <td>POINT (121.85000 20.80000)</td>\n",
              "      <td>Itbayat</td>\n",
              "      <td>137.426497</td>\n",
              "      <td>48.461714</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>210.116159</td>\n",
              "      <td>246.483154</td>\n",
              "      <td>292.432948</td>\n",
              "      <td>326.521131</td>\n",
              "      <td>360.357612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>II</td>\n",
              "      <td>Cagayan</td>\n",
              "      <td>Aparri</td>\n",
              "      <td>18.367</td>\n",
              "      <td>121.633</td>\n",
              "      <td>30.0</td>\n",
              "      <td>453.1</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (121.63300 18.36700)</td>\n",
              "      <td>Aparri</td>\n",
              "      <td>97.583207</td>\n",
              "      <td>79.918297</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>217.455856</td>\n",
              "      <td>277.428731</td>\n",
              "      <td>353.204618</td>\n",
              "      <td>409.419499</td>\n",
              "      <td>465.219299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>II</td>\n",
              "      <td>Cagayan</td>\n",
              "      <td>Calayan</td>\n",
              "      <td>19.267</td>\n",
              "      <td>121.467</td>\n",
              "      <td>130.0</td>\n",
              "      <td>522.2</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (121.46700 19.26700)</td>\n",
              "      <td>Calayan</td>\n",
              "      <td>49.940185</td>\n",
              "      <td>49.982384</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>124.910762</td>\n",
              "      <td>162.418909</td>\n",
              "      <td>209.810554</td>\n",
              "      <td>244.968382</td>\n",
              "      <td>279.866611</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>II</td>\n",
              "      <td>Cagayan</td>\n",
              "      <td>Tuguegarao</td>\n",
              "      <td>17.633</td>\n",
              "      <td>121.750</td>\n",
              "      <td>620.0</td>\n",
              "      <td>349.7</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (121.75000 17.63300)</td>\n",
              "      <td>Tuguegarao</td>\n",
              "      <td>126.676301</td>\n",
              "      <td>63.258603</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>221.560410</td>\n",
              "      <td>269.031395</td>\n",
              "      <td>329.011111</td>\n",
              "      <td>373.507490</td>\n",
              "      <td>417.675315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>III</td>\n",
              "      <td>Aurora</td>\n",
              "      <td>Baler Radar</td>\n",
              "      <td>15.750</td>\n",
              "      <td>121.633</td>\n",
              "      <td>1780.0</td>\n",
              "      <td>675.6</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (121.63300 15.75000)</td>\n",
              "      <td>Baler Radar</td>\n",
              "      <td>131.397837</td>\n",
              "      <td>52.175754</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>209.658337</td>\n",
              "      <td>248.812450</td>\n",
              "      <td>298.283775</td>\n",
              "      <td>334.984430</td>\n",
              "      <td>371.414093</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>III</td>\n",
              "      <td>Aurora</td>\n",
              "      <td>Casiguran</td>\n",
              "      <td>16.267</td>\n",
              "      <td>122.133</td>\n",
              "      <td>40.0</td>\n",
              "      <td>402.6</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (122.13300 16.26700)</td>\n",
              "      <td>Casiguran</td>\n",
              "      <td>151.490480</td>\n",
              "      <td>78.675103</td>\n",
              "      <td>0.222742</td>\n",
              "      <td>251.808820</td>\n",
              "      <td>290.736376</td>\n",
              "      <td>331.472276</td>\n",
              "      <td>356.594143</td>\n",
              "      <td>377.926244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>III</td>\n",
              "      <td>Pampanga</td>\n",
              "      <td>Clark</td>\n",
              "      <td>15.183</td>\n",
              "      <td>120.550</td>\n",
              "      <td>1550.0</td>\n",
              "      <td>274.5</td>\n",
              "      <td>1997-2018</td>\n",
              "      <td>POINT (120.55000 15.18300)</td>\n",
              "      <td>Clark</td>\n",
              "      <td>85.975768</td>\n",
              "      <td>53.426880</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>166.112881</td>\n",
              "      <td>206.205872</td>\n",
              "      <td>256.863473</td>\n",
              "      <td>294.444175</td>\n",
              "      <td>331.747387</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>III</td>\n",
              "      <td>Nueva Ecija</td>\n",
              "      <td>Cabanatuan</td>\n",
              "      <td>15.467</td>\n",
              "      <td>120.950</td>\n",
              "      <td>320.0</td>\n",
              "      <td>297.2</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (120.95000 15.46700)</td>\n",
              "      <td>Cabanatuan</td>\n",
              "      <td>97.643741</td>\n",
              "      <td>46.633972</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>167.591901</td>\n",
              "      <td>202.587309</td>\n",
              "      <td>246.804099</td>\n",
              "      <td>279.606641</td>\n",
              "      <td>312.166973</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>III</td>\n",
              "      <td>Zambales</td>\n",
              "      <td>Iba</td>\n",
              "      <td>15.333</td>\n",
              "      <td>119.967</td>\n",
              "      <td>50.0</td>\n",
              "      <td>623.7</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (119.96700 15.33300)</td>\n",
              "      <td>Iba</td>\n",
              "      <td>146.381234</td>\n",
              "      <td>82.155169</td>\n",
              "      <td>0.188577</td>\n",
              "      <td>253.714586</td>\n",
              "      <td>297.039223</td>\n",
              "      <td>343.702108</td>\n",
              "      <td>373.309613</td>\n",
              "      <td>399.060008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>III</td>\n",
              "      <td>Zambales</td>\n",
              "      <td>Cubi Pt., Subic Bay</td>\n",
              "      <td>14.800</td>\n",
              "      <td>120.267</td>\n",
              "      <td>190.0</td>\n",
              "      <td>436.4</td>\n",
              "      <td>1994-2018</td>\n",
              "      <td>POINT (120.26700 14.80000)</td>\n",
              "      <td>Cubi Pt., Subic Bay</td>\n",
              "      <td>194.279435</td>\n",
              "      <td>102.320517</td>\n",
              "      <td>0.429147</td>\n",
              "      <td>307.449638</td>\n",
              "      <td>341.937193</td>\n",
              "      <td>372.280758</td>\n",
              "      <td>388.025507</td>\n",
              "      <td>399.594059</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Batangas</td>\n",
              "      <td>Ambulong</td>\n",
              "      <td>14.083</td>\n",
              "      <td>121.050</td>\n",
              "      <td>110.0</td>\n",
              "      <td>499.2</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (121.05000 14.08300)</td>\n",
              "      <td>Ambulong</td>\n",
              "      <td>94.940529</td>\n",
              "      <td>74.508585</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>206.698935</td>\n",
              "      <td>262.612214</td>\n",
              "      <td>333.258791</td>\n",
              "      <td>385.668457</td>\n",
              "      <td>437.691138</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Cavite</td>\n",
              "      <td>Sangley Point</td>\n",
              "      <td>14.495</td>\n",
              "      <td>120.904</td>\n",
              "      <td>40.0</td>\n",
              "      <td>475.4</td>\n",
              "      <td>1974-2018</td>\n",
              "      <td>POINT (120.90400 14.49500)</td>\n",
              "      <td>Sangley Point</td>\n",
              "      <td>128.199478</td>\n",
              "      <td>54.291530</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>209.633515</td>\n",
              "      <td>250.375364</td>\n",
              "      <td>301.852798</td>\n",
              "      <td>340.041699</td>\n",
              "      <td>377.948619</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Quezon</td>\n",
              "      <td>Alabat</td>\n",
              "      <td>14.100</td>\n",
              "      <td>122.017</td>\n",
              "      <td>50.0</td>\n",
              "      <td>673.0</td>\n",
              "      <td>1952-2018</td>\n",
              "      <td>POINT (122.01700 14.10000)</td>\n",
              "      <td>Alabat</td>\n",
              "      <td>126.029161</td>\n",
              "      <td>59.316632</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>215.000549</td>\n",
              "      <td>259.513371</td>\n",
              "      <td>315.755440</td>\n",
              "      <td>357.479020</td>\n",
              "      <td>398.894519</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Quezon</td>\n",
              "      <td>Infanta</td>\n",
              "      <td>14.750</td>\n",
              "      <td>121.650</td>\n",
              "      <td>70.0</td>\n",
              "      <td>339.0</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (121.65000 14.75000)</td>\n",
              "      <td>Infanta</td>\n",
              "      <td>141.302037</td>\n",
              "      <td>71.408172</td>\n",
              "      <td>0.281082</td>\n",
              "      <td>228.696336</td>\n",
              "      <td>260.388896</td>\n",
              "      <td>291.963483</td>\n",
              "      <td>310.510544</td>\n",
              "      <td>325.628636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Quezon</td>\n",
              "      <td>Tayabas</td>\n",
              "      <td>14.017</td>\n",
              "      <td>121.600</td>\n",
              "      <td>1580.0</td>\n",
              "      <td>557.7</td>\n",
              "      <td>1970-2018</td>\n",
              "      <td>POINT (121.60000 14.01700)</td>\n",
              "      <td>Tayabas</td>\n",
              "      <td>142.613403</td>\n",
              "      <td>67.691851</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>244.147117</td>\n",
              "      <td>294.944933</td>\n",
              "      <td>359.128108</td>\n",
              "      <td>406.742854</td>\n",
              "      <td>454.006020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>IV-A</td>\n",
              "      <td>Rizal</td>\n",
              "      <td>Tanay</td>\n",
              "      <td>14.583</td>\n",
              "      <td>121.367</td>\n",
              "      <td>6510.0</td>\n",
              "      <td>331.8</td>\n",
              "      <td>2000-2018</td>\n",
              "      <td>POINT (121.36700 14.58300)</td>\n",
              "      <td>Tanay</td>\n",
              "      <td>113.645911</td>\n",
              "      <td>58.802038</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>201.845439</td>\n",
              "      <td>245.972096</td>\n",
              "      <td>301.726244</td>\n",
              "      <td>343.087856</td>\n",
              "      <td>384.144061</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Occidental Mindoro</td>\n",
              "      <td>San Jose</td>\n",
              "      <td>12.367</td>\n",
              "      <td>121.050</td>\n",
              "      <td>30.0</td>\n",
              "      <td>286.7</td>\n",
              "      <td>1980-2018</td>\n",
              "      <td>POINT (121.05000 12.36700)</td>\n",
              "      <td>San Jose</td>\n",
              "      <td>110.260241</td>\n",
              "      <td>61.918066</td>\n",
              "      <td>0.382082</td>\n",
              "      <td>180.952424</td>\n",
              "      <td>203.727354</td>\n",
              "      <td>224.571778</td>\n",
              "      <td>235.823435</td>\n",
              "      <td>244.367988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Oriental Mindoro</td>\n",
              "      <td>Calapan</td>\n",
              "      <td>13.417</td>\n",
              "      <td>121.183</td>\n",
              "      <td>410.0</td>\n",
              "      <td>277.4</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (121.18300 13.41700)</td>\n",
              "      <td>Calapan</td>\n",
              "      <td>115.366531</td>\n",
              "      <td>67.125654</td>\n",
              "      <td>0.259719</td>\n",
              "      <td>198.756274</td>\n",
              "      <td>229.757391</td>\n",
              "      <td>261.203513</td>\n",
              "      <td>280.007513</td>\n",
              "      <td>295.566292</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Palawan</td>\n",
              "      <td>Coron</td>\n",
              "      <td>12.220</td>\n",
              "      <td>120.200</td>\n",
              "      <td>600.0</td>\n",
              "      <td>317.6</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (120.20000 12.22000)</td>\n",
              "      <td>Coron</td>\n",
              "      <td>94.872957</td>\n",
              "      <td>41.838021</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>157.627478</td>\n",
              "      <td>189.023874</td>\n",
              "      <td>228.693302</td>\n",
              "      <td>258.122350</td>\n",
              "      <td>287.334099</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Palawan</td>\n",
              "      <td>Cuyo</td>\n",
              "      <td>10.850</td>\n",
              "      <td>121.000</td>\n",
              "      <td>40.0</td>\n",
              "      <td>294.4</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (121.00000 10.85000)</td>\n",
              "      <td>Cuyo</td>\n",
              "      <td>67.996734</td>\n",
              "      <td>42.004008</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>131.000225</td>\n",
              "      <td>162.521181</td>\n",
              "      <td>202.347992</td>\n",
              "      <td>231.893795</td>\n",
              "      <td>261.221437</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Palawan</td>\n",
              "      <td>Puerto Princesa</td>\n",
              "      <td>9.733</td>\n",
              "      <td>118.767</td>\n",
              "      <td>150.0</td>\n",
              "      <td>269.3</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (118.76700 9.73300)</td>\n",
              "      <td>Puerto Princesa</td>\n",
              "      <td>82.703001</td>\n",
              "      <td>41.697029</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>145.246042</td>\n",
              "      <td>176.536632</td>\n",
              "      <td>216.072376</td>\n",
              "      <td>245.402250</td>\n",
              "      <td>274.515556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>IV-B</td>\n",
              "      <td>Romblon</td>\n",
              "      <td>Romblon</td>\n",
              "      <td>12.583</td>\n",
              "      <td>122.283</td>\n",
              "      <td>470.0</td>\n",
              "      <td>385.8</td>\n",
              "      <td>1904-2018</td>\n",
              "      <td>POINT (122.28300 12.58300)</td>\n",
              "      <td>Romblon</td>\n",
              "      <td>95.200562</td>\n",
              "      <td>70.724211</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>201.282634</td>\n",
              "      <td>254.356015</td>\n",
              "      <td>321.414373</td>\n",
              "      <td>371.162094</td>\n",
              "      <td>420.542485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>NCR</td>\n",
              "      <td>Metro Manila</td>\n",
              "      <td>NAIA (MIA)</td>\n",
              "      <td>14.509</td>\n",
              "      <td>121.020</td>\n",
              "      <td>22.9</td>\n",
              "      <td>472.4</td>\n",
              "      <td>1947-2018</td>\n",
              "      <td>POINT (121.02000 14.50900)</td>\n",
              "      <td>NAIA (MIA)</td>\n",
              "      <td>74.319310</td>\n",
              "      <td>81.336198</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>196.318726</td>\n",
              "      <td>257.355632</td>\n",
              "      <td>334.475925</td>\n",
              "      <td>391.688164</td>\n",
              "      <td>448.477957</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>NCR</td>\n",
              "      <td>Metro Manila</td>\n",
              "      <td>Port Area (MCO)</td>\n",
              "      <td>14.583</td>\n",
              "      <td>120.983</td>\n",
              "      <td>130.0</td>\n",
              "      <td>403.1</td>\n",
              "      <td>1865-2018</td>\n",
              "      <td>POINT (120.98300 14.58300)</td>\n",
              "      <td>Port Area (MCO)</td>\n",
              "      <td>125.070124</td>\n",
              "      <td>50.868121</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>201.369252</td>\n",
              "      <td>239.542081</td>\n",
              "      <td>287.773551</td>\n",
              "      <td>323.554411</td>\n",
              "      <td>359.071071</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>NCR</td>\n",
              "      <td>Metro Manila</td>\n",
              "      <td>Science Garden</td>\n",
              "      <td>14.650</td>\n",
              "      <td>121.050</td>\n",
              "      <td>460.0</td>\n",
              "      <td>455.0</td>\n",
              "      <td>1961-2018</td>\n",
              "      <td>POINT (121.05000 14.65000)</td>\n",
              "      <td>Science Garden</td>\n",
              "      <td>120.035477</td>\n",
              "      <td>76.532093</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>234.829024</td>\n",
              "      <td>292.260799</td>\n",
              "      <td>364.826000</td>\n",
              "      <td>418.659011</td>\n",
              "      <td>472.094527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>V</td>\n",
              "      <td>Albay</td>\n",
              "      <td>Legazpi</td>\n",
              "      <td>13.133</td>\n",
              "      <td>123.733</td>\n",
              "      <td>170.0</td>\n",
              "      <td>484.6</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (123.73300 13.13300)</td>\n",
              "      <td>Legazpi</td>\n",
              "      <td>147.259594</td>\n",
              "      <td>71.512710</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>254.524366</td>\n",
              "      <td>308.189459</td>\n",
              "      <td>375.995445</td>\n",
              "      <td>426.297800</td>\n",
              "      <td>476.228729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>V</td>\n",
              "      <td>Camarines Norte</td>\n",
              "      <td>Daet</td>\n",
              "      <td>14.133</td>\n",
              "      <td>122.983</td>\n",
              "      <td>40.0</td>\n",
              "      <td>507.5</td>\n",
              "      <td>1920-2018</td>\n",
              "      <td>POINT (122.98300 14.13300)</td>\n",
              "      <td>Daet</td>\n",
              "      <td>166.261321</td>\n",
              "      <td>83.543521</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>291.571589</td>\n",
              "      <td>354.264931</td>\n",
              "      <td>433.478136</td>\n",
              "      <td>492.243016</td>\n",
              "      <td>550.573985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>V</td>\n",
              "      <td>Catanduanes</td>\n",
              "      <td>Virac Synop</td>\n",
              "      <td>13.600</td>\n",
              "      <td>124.217</td>\n",
              "      <td>400.0</td>\n",
              "      <td>494.2</td>\n",
              "      <td>1908-2018</td>\n",
              "      <td>POINT (124.21700 13.60000)</td>\n",
              "      <td>Virac Synop</td>\n",
              "      <td>109.145215</td>\n",
              "      <td>59.403420</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>198.246780</td>\n",
              "      <td>242.824731</td>\n",
              "      <td>299.149089</td>\n",
              "      <td>340.933716</td>\n",
              "      <td>382.409812</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>V</td>\n",
              "      <td>Masbate</td>\n",
              "      <td>Masbate</td>\n",
              "      <td>12.367</td>\n",
              "      <td>123.633</td>\n",
              "      <td>60.0</td>\n",
              "      <td>603.5</td>\n",
              "      <td>1907-2018</td>\n",
              "      <td>POINT (123.63300 12.36700)</td>\n",
              "      <td>Masbate</td>\n",
              "      <td>95.989159</td>\n",
              "      <td>64.633914</td>\n",
              "      <td>0.229973</td>\n",
              "      <td>177.982995</td>\n",
              "      <td>209.534833</td>\n",
              "      <td>242.351728</td>\n",
              "      <td>262.468337</td>\n",
              "      <td>279.463884</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>VI</td>\n",
              "      <td>Capiz</td>\n",
              "      <td>Roxas City</td>\n",
              "      <td>11.600</td>\n",
              "      <td>122.750</td>\n",
              "      <td>40.0</td>\n",
              "      <td>370.2</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (122.75000 11.60000)</td>\n",
              "      <td>Roxas City</td>\n",
              "      <td>111.993938</td>\n",
              "      <td>54.044305</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>193.057153</td>\n",
              "      <td>233.613477</td>\n",
              "      <td>284.856500</td>\n",
              "      <td>322.871502</td>\n",
              "      <td>360.605808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>VI</td>\n",
              "      <td>lloilo</td>\n",
              "      <td>Iloilo</td>\n",
              "      <td>10.713</td>\n",
              "      <td>122.541</td>\n",
              "      <td>8.2</td>\n",
              "      <td>319.8</td>\n",
              "      <td>1903-2010</td>\n",
              "      <td>POINT (122.54100 10.71300)</td>\n",
              "      <td>Iloilo</td>\n",
              "      <td>100.375271</td>\n",
              "      <td>50.121733</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>175.554862</td>\n",
              "      <td>213.167580</td>\n",
              "      <td>260.691350</td>\n",
              "      <td>295.947197</td>\n",
              "      <td>330.942721</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>VII</td>\n",
              "      <td>Bohol</td>\n",
              "      <td>Tagbilaran-Dauis</td>\n",
              "      <td>9.667</td>\n",
              "      <td>123.850</td>\n",
              "      <td>80.0</td>\n",
              "      <td>229.1</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (123.85000 9.66700)</td>\n",
              "      <td>Tagbilaran-Dauis</td>\n",
              "      <td>79.383611</td>\n",
              "      <td>35.628605</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>132.824380</td>\n",
              "      <td>159.561059</td>\n",
              "      <td>193.342924</td>\n",
              "      <td>218.404242</td>\n",
              "      <td>243.280510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>VII</td>\n",
              "      <td>Cebu</td>\n",
              "      <td>Mactan</td>\n",
              "      <td>10.317</td>\n",
              "      <td>123.983</td>\n",
              "      <td>240.0</td>\n",
              "      <td>276.1</td>\n",
              "      <td>1972-2018</td>\n",
              "      <td>POINT (123.98300 10.31700)</td>\n",
              "      <td>Mactan</td>\n",
              "      <td>100.786792</td>\n",
              "      <td>46.146602</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>170.003926</td>\n",
              "      <td>204.633598</td>\n",
              "      <td>248.388280</td>\n",
              "      <td>280.848003</td>\n",
              "      <td>313.068049</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>VII</td>\n",
              "      <td>Negros Oriental</td>\n",
              "      <td>Dumaguete</td>\n",
              "      <td>9.333</td>\n",
              "      <td>123.300</td>\n",
              "      <td>80.0</td>\n",
              "      <td>208.3</td>\n",
              "      <td>1910-2018</td>\n",
              "      <td>POINT (123.30000 9.33300)</td>\n",
              "      <td>Dumaguete</td>\n",
              "      <td>68.189832</td>\n",
              "      <td>37.722110</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>124.770734</td>\n",
              "      <td>153.078437</td>\n",
              "      <td>188.845294</td>\n",
              "      <td>215.379192</td>\n",
              "      <td>241.717168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Eastern Samar</td>\n",
              "      <td>Borongan</td>\n",
              "      <td>11.667</td>\n",
              "      <td>125.450</td>\n",
              "      <td>30.0</td>\n",
              "      <td>427.8</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (125.45000 11.66700)</td>\n",
              "      <td>Borongan</td>\n",
              "      <td>114.633119</td>\n",
              "      <td>84.186265</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>240.907464</td>\n",
              "      <td>304.083139</td>\n",
              "      <td>383.905772</td>\n",
              "      <td>443.122761</td>\n",
              "      <td>501.902501</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Eastern Samar</td>\n",
              "      <td>Guiuan</td>\n",
              "      <td>11.036</td>\n",
              "      <td>125.742</td>\n",
              "      <td>2.1</td>\n",
              "      <td>780.4</td>\n",
              "      <td>1973-2018</td>\n",
              "      <td>POINT (125.74200 11.03600)</td>\n",
              "      <td>Guiuan</td>\n",
              "      <td>115.505399</td>\n",
              "      <td>49.879834</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>190.322156</td>\n",
              "      <td>227.753348</td>\n",
              "      <td>275.047757</td>\n",
              "      <td>310.133451</td>\n",
              "      <td>344.960078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Leyte</td>\n",
              "      <td>Tacloban</td>\n",
              "      <td>11.228</td>\n",
              "      <td>125.028</td>\n",
              "      <td>3.0</td>\n",
              "      <td>325.9</td>\n",
              "      <td>1903-2018</td>\n",
              "      <td>POINT (125.02800 11.22800)</td>\n",
              "      <td>Tacloban</td>\n",
              "      <td>106.673660</td>\n",
              "      <td>62.734474</td>\n",
              "      <td>0.250104</td>\n",
              "      <td>185.136299</td>\n",
              "      <td>214.633117</td>\n",
              "      <td>244.796605</td>\n",
              "      <td>262.978902</td>\n",
              "      <td>278.125007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Northern Samar</td>\n",
              "      <td>Catarman</td>\n",
              "      <td>12.500</td>\n",
              "      <td>124.633</td>\n",
              "      <td>70.0</td>\n",
              "      <td>485.8</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (124.63300 12.50000)</td>\n",
              "      <td>Catarman</td>\n",
              "      <td>120.922927</td>\n",
              "      <td>75.665693</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>234.416925</td>\n",
              "      <td>291.198530</td>\n",
              "      <td>362.942239</td>\n",
              "      <td>416.165820</td>\n",
              "      <td>468.996407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Southern Leyte</td>\n",
              "      <td>Maasin</td>\n",
              "      <td>10.133</td>\n",
              "      <td>124.867</td>\n",
              "      <td>720.0</td>\n",
              "      <td>281.9</td>\n",
              "      <td>1973-2018</td>\n",
              "      <td>POINT (124.86700 10.13300)</td>\n",
              "      <td>Maasin</td>\n",
              "      <td>92.111320</td>\n",
              "      <td>72.560691</td>\n",
              "      <td>0.328187</td>\n",
              "      <td>178.063758</td>\n",
              "      <td>207.565075</td>\n",
              "      <td>235.815243</td>\n",
              "      <td>251.768713</td>\n",
              "      <td>264.350324</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>VIII</td>\n",
              "      <td>Western Samar</td>\n",
              "      <td>Catbalogan</td>\n",
              "      <td>11.783</td>\n",
              "      <td>124.883</td>\n",
              "      <td>50.0</td>\n",
              "      <td>387.9</td>\n",
              "      <td>1919-2018</td>\n",
              "      <td>POINT (124.88300 11.78300)</td>\n",
              "      <td>Catbalogan</td>\n",
              "      <td>119.914497</td>\n",
              "      <td>63.263942</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>214.806614</td>\n",
              "      <td>262.281606</td>\n",
              "      <td>322.266384</td>\n",
              "      <td>366.766519</td>\n",
              "      <td>410.938072</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>IX</td>\n",
              "      <td>Zamboanga Del Norte</td>\n",
              "      <td>Dipolog</td>\n",
              "      <td>8.600</td>\n",
              "      <td>123.350</td>\n",
              "      <td>50.0</td>\n",
              "      <td>295.8</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (123.35000 8.60000)</td>\n",
              "      <td>Dipolog</td>\n",
              "      <td>94.207890</td>\n",
              "      <td>44.534760</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>161.007358</td>\n",
              "      <td>194.427460</td>\n",
              "      <td>236.653847</td>\n",
              "      <td>267.979793</td>\n",
              "      <td>299.074433</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>IX</td>\n",
              "      <td>Zamboanga del Sur</td>\n",
              "      <td>Zamboanga</td>\n",
              "      <td>6.917</td>\n",
              "      <td>122.067</td>\n",
              "      <td>60.0</td>\n",
              "      <td>199.1</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (122.06700 6.91700)</td>\n",
              "      <td>Zamboanga</td>\n",
              "      <td>70.418530</td>\n",
              "      <td>31.358244</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>117.454014</td>\n",
              "      <td>140.986098</td>\n",
              "      <td>170.718947</td>\n",
              "      <td>192.776474</td>\n",
              "      <td>214.671131</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>X</td>\n",
              "      <td>Bukidnon</td>\n",
              "      <td>Malaybalay</td>\n",
              "      <td>8.150</td>\n",
              "      <td>125.133</td>\n",
              "      <td>6270.0</td>\n",
              "      <td>195.9</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (125.13300 8.15000)</td>\n",
              "      <td>Malaybalay</td>\n",
              "      <td>96.501660</td>\n",
              "      <td>31.982074</td>\n",
              "      <td>0.324708</td>\n",
              "      <td>134.477245</td>\n",
              "      <td>147.564748</td>\n",
              "      <td>160.133897</td>\n",
              "      <td>167.252656</td>\n",
              "      <td>172.880533</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>X</td>\n",
              "      <td>Misamis Oriental</td>\n",
              "      <td>Lumbia-El Salvador</td>\n",
              "      <td>8.417</td>\n",
              "      <td>124.617</td>\n",
              "      <td>1880.0</td>\n",
              "      <td>237.1</td>\n",
              "      <td>1977-2018</td>\n",
              "      <td>POINT (124.61700 8.41700)</td>\n",
              "      <td>Lumbia-El Salvador</td>\n",
              "      <td>66.985568</td>\n",
              "      <td>43.033360</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>131.533024</td>\n",
              "      <td>163.826434</td>\n",
              "      <td>204.629242</td>\n",
              "      <td>234.899097</td>\n",
              "      <td>264.945443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>XI</td>\n",
              "      <td>Davao Del Sur</td>\n",
              "      <td>Davao City</td>\n",
              "      <td>7.126</td>\n",
              "      <td>125.646</td>\n",
              "      <td>29.3</td>\n",
              "      <td>242.6</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (125.64600 7.12600)</td>\n",
              "      <td>Davao City</td>\n",
              "      <td>78.178818</td>\n",
              "      <td>39.424259</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>137.312840</td>\n",
              "      <td>166.897882</td>\n",
              "      <td>204.278661</td>\n",
              "      <td>232.009858</td>\n",
              "      <td>259.536293</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>XII</td>\n",
              "      <td>South Cotabato</td>\n",
              "      <td>General Santos</td>\n",
              "      <td>6.050</td>\n",
              "      <td>125.100</td>\n",
              "      <td>133.0</td>\n",
              "      <td>189.5</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (125.10000 6.05000)</td>\n",
              "      <td>General Santos</td>\n",
              "      <td>50.478281</td>\n",
              "      <td>33.541494</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>100.788509</td>\n",
              "      <td>125.958964</td>\n",
              "      <td>157.761900</td>\n",
              "      <td>181.355134</td>\n",
              "      <td>204.774160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>CARAGA</td>\n",
              "      <td>Agusan Del Norte</td>\n",
              "      <td>Butuan</td>\n",
              "      <td>8.950</td>\n",
              "      <td>125.483</td>\n",
              "      <td>460.0</td>\n",
              "      <td>271.6</td>\n",
              "      <td>1980-2018</td>\n",
              "      <td>POINT (125.48300 8.95000)</td>\n",
              "      <td>Butuan</td>\n",
              "      <td>91.290882</td>\n",
              "      <td>37.164093</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>147.034792</td>\n",
              "      <td>174.923743</td>\n",
              "      <td>210.161507</td>\n",
              "      <td>236.302894</td>\n",
              "      <td>262.251256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>CARAGA</td>\n",
              "      <td>Surigao Del Sur</td>\n",
              "      <td>Hinatuan</td>\n",
              "      <td>8.367</td>\n",
              "      <td>126.333</td>\n",
              "      <td>30.0</td>\n",
              "      <td>375.5</td>\n",
              "      <td>1949-2018</td>\n",
              "      <td>POINT (126.33300 8.36700)</td>\n",
              "      <td>Hinatuan</td>\n",
              "      <td>118.894742</td>\n",
              "      <td>68.794405</td>\n",
              "      <td>-0.000000</td>\n",
              "      <td>222.082220</td>\n",
              "      <td>273.707423</td>\n",
              "      <td>338.936002</td>\n",
              "      <td>387.326289</td>\n",
              "      <td>435.359269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>CARAGA</td>\n",
              "      <td>Surigao Del Norte</td>\n",
              "      <td>Surigao</td>\n",
              "      <td>9.783</td>\n",
              "      <td>125.483</td>\n",
              "      <td>550.0</td>\n",
              "      <td>566.4</td>\n",
              "      <td>1902-2018</td>\n",
              "      <td>POINT (125.48300 9.78300)</td>\n",
              "      <td>Surigao</td>\n",
              "      <td>132.274502</td>\n",
              "      <td>83.462794</td>\n",
              "      <td>0.301759</td>\n",
              "      <td>232.963579</td>\n",
              "      <td>268.607535</td>\n",
              "      <td>303.506499</td>\n",
              "      <td>323.655165</td>\n",
              "      <td>339.842421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>BARMM</td>\n",
              "      <td>Maguindanao</td>\n",
              "      <td>Cotabato</td>\n",
              "      <td>7.167</td>\n",
              "      <td>124.217</td>\n",
              "      <td>620.0</td>\n",
              "      <td>201.7</td>\n",
              "      <td>1986-2018</td>\n",
              "      <td>POINT (124.21700 7.16700)</td>\n",
              "      <td>Cotabato</td>\n",
              "      <td>60.493031</td>\n",
              "      <td>40.181194</td>\n",
              "      <td>0.216483</td>\n",
              "      <td>111.955772</td>\n",
              "      <td>132.070411</td>\n",
              "      <td>153.230843</td>\n",
              "      <td>166.348737</td>\n",
              "      <td>177.536707</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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\"347.7917152709476\",\n        },\n{\n            'v': 400.33967314890697,\n            'f': \"400.33967314890697\",\n        },\n{\n            'v': 451.3067902676679,\n            'f': \"451.3067902676679\",\n        },\n{\n            'v': 480.4578127143703,\n            'f': \"480.4578127143703\",\n        },\n{\n            'v': 503.69418996860014,\n            'f': \"503.69418996860014\",\n        }],\n [{\n            'v': 1,\n            'f': \"1\",\n        },\n\"I\",\n\"llocos Sur\",\n\"Sinait-Vigan\",\n{\n            'v': 17.883,\n            'f': \"17.883\",\n        },\n{\n            'v': 120.467,\n            'f': \"120.467\",\n        },\n{\n            'v': 570.0,\n            'f': \"570.0\",\n        },\n{\n            'v': 594.1,\n            'f': \"594.1\",\n        },\n\"1903-2018\",\n\"POINT (120.467 17.883)\",\n\"Sinait-Vigan\",\n{\n            'v': 127.85803037062351,\n            'f': \"127.85803037062351\",\n        },\n{\n            'v': 89.56759199604276,\n            'f': \"89.56759199604276\",\n        },\n{\n            'v': 0.25733462966837606,\n            'f': \"0.25733462966837606\",\n        },\n{\n            'v': 239.3135349846636,\n            'f': \"239.3135349846636\",\n        },\n{\n            'v': 280.86332563395047,\n            'f': \"280.86332563395047\",\n        },\n{\n            'v': 323.0942467297873,\n            'f': \"323.0942467297873\",\n        },\n{\n            'v': 348.3975838618984,\n            'f': \"348.3975838618984\",\n        },\n{\n            'v': 369.3690538375805,\n            'f': \"369.3690538375805\",\n        }],\n [{\n            'v': 2,\n            'f': \"2\",\n        },\n\"I\",\n\"Pangasinan\",\n\"Dagupan\",\n{\n            'v': 16.082,\n            'f': \"16.082\",\n        },\n{\n            'v': 120.35,\n            'f': \"120.35\",\n        },\n{\n            'v': 20.0,\n            'f': \"20.0\",\n        },\n{\n            'v': 722.6,\n            'f': \"722.6\",\n        },\n\"1903-2018\",\n\"POINT (120.35 16.082)\",\n\"Dagupan\",\n{\n            'v': 128.93032246426276,\n            'f': \"128.93032246426276\",\n        },\n{\n            'v': 88.01983491634996,\n            'f': \"88.01983491634996\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 260.9547924832675,\n            'f': \"260.9547924832675\",\n        },\n{\n            'v': 327.00728311545186,\n            'f': \"327.00728311545186\",\n        },\n{\n            'v': 410.4647801309749,\n            'f': \"410.4647801309749\",\n        },\n{\n            'v': 472.37831898949895,\n            'f': \"472.37831898949895\",\n        },\n{\n            'v': 533.8346979957122,\n            'f': \"533.8346979957122\",\n        }],\n [{\n            'v': 3,\n            'f': \"3\",\n        },\n\"CAR\",\n\"Benguet\",\n\"Baguio\",\n{\n            'v': 16.4,\n            'f': \"16.4\",\n        },\n{\n            'v': 120.6,\n            'f': \"120.6\",\n        },\n{\n            'v': 15010.0,\n            'f': \"15010.0\",\n        },\n{\n            'v': 1085.8,\n            'f': \"1085.8\",\n        },\n\"1902-2018\",\n\"POINT (120.6 16.4)\",\n\"Baguio\",\n{\n            'v': 261.07892805352895,\n            'f': \"261.07892805352895\",\n        },\n{\n            'v': 156.91537768620356,\n            'f': \"156.91537768620356\",\n        },\n{\n            'v': 0.626219289749272,\n            'f': \"0.626219289749272\",\n        },\n{\n            'v': 413.70343621664006,\n            'f': \"413.70343621664006\",\n        },\n{\n            'v': 450.4307769896989,\n            'f': \"450.4307769896989\",\n        },\n{\n            'v': 477.8439879164012,\n            'f': \"477.8439879164012\",\n        },\n{\n            'v': 489.8899347918066,\n            'f': \"489.8899347918066\",\n        },\n{\n            'v': 497.59855548967096,\n            'f': \"497.59855548967096\",\n        }],\n [{\n            'v': 4,\n            'f': \"4\",\n        },\n\"II\",\n\"Batanes\",\n\"Basco Radar\",\n{\n            'v': 20.433,\n            'f': \"20.433\",\n        },\n{\n            'v': 121.967,\n            'f': \"121.967\",\n        },\n{\n            'v': 1670.0,\n            'f': \"1670.0\",\n        },\n{\n            'v': 616.4,\n            'f': \"616.4\",\n        },\n\"1903-2018\",\n\"POINT (121.967 20.433)\",\n\"Basco Radar\",\n{\n            'v': 131.84302673098261,\n            'f': \"131.84302673098261\",\n        },\n{\n            'v': 48.866264351720275,\n            'f': \"48.866264351720275\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 205.13949063568893,\n            'f': \"205.13949063568893\",\n        },\n{\n            'v': 241.8100714359068,\n            'f': \"241.8100714359068\",\n        },\n{\n            'v': 288.14344748880717,\n            'f': \"288.14344748880717\",\n        },\n{\n            'v': 322.51619267387167,\n            'f': \"322.51619267387167\",\n        },\n{\n            'v': 356.6351349040085,\n            'f': \"356.6351349040085\",\n        }],\n [{\n            'v': 5,\n            'f': \"5\",\n        },\n\"II\",\n\"Batanes\",\n\"Itbayat\",\n{\n            'v': 20.8,\n            'f': \"20.8\",\n        },\n{\n            'v': 121.85,\n            'f': \"121.85\",\n        },\n{\n            'v': 1240.0,\n            'f': \"1240.0\",\n        },\n{\n            'v': 572.3,\n            'f': \"572.3\",\n        },\n\"1971-2018\",\n\"POINT (121.85 20.8)\",\n\"Itbayat\",\n{\n            'v': 137.42649684405137,\n            'f': \"137.42649684405137\",\n        },\n{\n            'v': 48.4617137055565,\n            'f': \"48.4617137055565\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 210.11615905790723,\n            'f': \"210.11615905790723\",\n        },\n{\n            'v': 246.48315399260545,\n            'f': \"246.48315399260545\",\n        },\n{\n            'v': 292.4329484996312,\n            'f': \"292.4329484996312\",\n        },\n{\n            'v': 326.5211309815811,\n            'f': \"326.5211309815811\",\n        },\n{\n            'v': 360.357611674935,\n            'f': \"360.357611674935\",\n        }],\n [{\n            'v': 6,\n            'f': \"6\",\n        },\n\"II\",\n\"Cagayan\",\n\"Aparri\",\n{\n            'v': 18.367,\n            'f': \"18.367\",\n        },\n{\n            'v': 121.633,\n            'f': \"121.633\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 453.1,\n            'f': \"453.1\",\n        },\n\"1903-2018\",\n\"POINT (121.633 18.367)\",\n\"Aparri\",\n{\n            'v': 97.58320712142884,\n            'f': \"97.58320712142884\",\n        },\n{\n            'v': 79.91829689248789,\n            'f': \"79.91829689248789\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 217.45585630419018,\n            'f': \"217.45585630419018\",\n        },\n{\n            'v': 277.4287313027393,\n            'f': \"277.4287313027393\",\n        },\n{\n            'v': 353.2046178484156,\n            'f': \"353.2046178484156\",\n        },\n{\n            'v': 409.41949924262053,\n            'f': \"409.41949924262053\",\n        },\n{\n            'v': 465.2192987767081,\n            'f': \"465.2192987767081\",\n        }],\n [{\n            'v': 7,\n            'f': \"7\",\n        },\n\"II\",\n\"Cagayan\",\n\"Calayan\",\n{\n            'v': 19.267,\n            'f': \"19.267\",\n        },\n{\n            'v': 121.467,\n            'f': \"121.467\",\n        },\n{\n            'v': 130.0,\n            'f': \"130.0\",\n        },\n{\n            'v': 522.2,\n            'f': \"522.2\",\n        },\n\"1919-2018\",\n\"POINT (121.467 19.267)\",\n\"Calayan\",\n{\n            'v': 49.94018478972259,\n            'f': \"49.94018478972259\",\n        },\n{\n            'v': 49.98238434020023,\n            'f': \"49.98238434020023\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 124.91076169517154,\n            'f': \"124.91076169517154\",\n        },\n{\n            'v': 162.4189094500824,\n            'f': \"162.4189094500824\",\n        },\n{\n            'v': 209.8105535705843,\n            'f': \"209.8105535705843\",\n        },\n{\n            'v': 244.96838246255646,\n            'f': \"244.96838246255646\",\n        },\n{\n            'v': 279.86661146474444,\n            'f': \"279.86661146474444\",\n        }],\n [{\n            'v': 8,\n            'f': \"8\",\n        },\n\"II\",\n\"Cagayan\",\n\"Tuguegarao\",\n{\n            'v': 17.633,\n            'f': \"17.633\",\n        },\n{\n            'v': 121.75,\n            'f': \"121.75\",\n        },\n{\n            'v': 620.0,\n            'f': \"620.0\",\n        },\n{\n            'v': 349.7,\n            'f': \"349.7\",\n        },\n\"1902-2018\",\n\"POINT (121.75 17.633)\",\n\"Tuguegarao\",\n{\n            'v': 126.676301253438,\n            'f': \"126.676301253438\",\n        },\n{\n            'v': 63.25860308650332,\n            'f': \"63.25860308650332\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 221.56040952943326,\n            'f': \"221.56040952943326\",\n        },\n{\n            'v': 269.0313948107313,\n            'f': \"269.0313948107313\",\n        },\n{\n            'v': 329.01111055679365,\n            'f': \"329.01111055679365\",\n        },\n{\n            'v': 373.50749008368433,\n            'f': \"373.50749008368433\",\n        },\n{\n            'v': 417.67531532878274,\n            'f': \"417.67531532878274\",\n        }],\n [{\n            'v': 9,\n            'f': \"9\",\n        },\n\"III\",\n\"Aurora\",\n\"Baler Radar\",\n{\n            'v': 15.75,\n            'f': \"15.75\",\n        },\n{\n            'v': 121.633,\n            'f': \"121.633\",\n        },\n{\n            'v': 1780.0,\n            'f': \"1780.0\",\n        },\n{\n            'v': 675.6,\n            'f': \"675.6\",\n        },\n\"1949-2018\",\n\"POINT (121.633 15.75)\",\n\"Baler Radar\",\n{\n            'v': 131.39783735600543,\n            'f': \"131.39783735600543\",\n        },\n{\n            'v': 52.17575418565285,\n            'f': \"52.17575418565285\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 209.65833739840133,\n            'f': \"209.65833739840133\",\n        },\n{\n            'v': 248.81244985328416,\n            'f': \"248.81244985328416\",\n        },\n{\n            'v': 298.2837747355685,\n            'f': \"298.2837747355685\",\n        },\n{\n            'v': 334.98442961996165,\n            'f': \"334.98442961996165\",\n        },\n{\n            'v': 371.4140926296212,\n            'f': \"371.4140926296212\",\n        }],\n [{\n            'v': 10,\n            'f': \"10\",\n        },\n\"III\",\n\"Aurora\",\n\"Casiguran\",\n{\n            'v': 16.267,\n            'f': \"16.267\",\n        },\n{\n            'v': 122.133,\n            'f': \"122.133\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        },\n{\n            'v': 402.6,\n            'f': \"402.6\",\n        },\n\"1919-2018\",\n\"POINT (122.133 16.267)\",\n\"Casiguran\",\n{\n            'v': 151.49047986351957,\n            'f': \"151.49047986351957\",\n        },\n{\n            'v': 78.67510255190628,\n            'f': \"78.67510255190628\",\n        },\n{\n            'v': 0.2227421732284064,\n            'f': \"0.2227421732284064\",\n        },\n{\n            'v': 251.80881964735505,\n            'f': \"251.80881964735505\",\n        },\n{\n            'v': 290.7363757482037,\n            'f': \"290.7363757482037\",\n        },\n{\n            'v': 331.4722757258351,\n            'f': \"331.4722757258351\",\n        },\n{\n            'v': 356.5941430505181,\n            'f': \"356.5941430505181\",\n        },\n{\n            'v': 377.9262437177552,\n            'f': \"377.9262437177552\",\n        }],\n [{\n            'v': 11,\n            'f': \"11\",\n        },\n\"III\",\n\"Pampanga\",\n\"Clark\",\n{\n            'v': 15.183,\n            'f': \"15.183\",\n        },\n{\n            'v': 120.55,\n            'f': \"120.55\",\n        },\n{\n            'v': 1550.0,\n            'f': \"1550.0\",\n        },\n{\n            'v': 274.5,\n            'f': \"274.5\",\n        },\n\"1997-2018\",\n\"POINT (120.55 15.183)\",\n\"Clark\",\n{\n            'v': 85.97576815570535,\n            'f': \"85.97576815570535\",\n        },\n{\n            'v': 53.42687962145268,\n            'f': \"53.42687962145268\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 166.11288126770933,\n            'f': \"166.11288126770933\",\n        },\n{\n            'v': 206.20587245607757,\n            'f': \"206.20587245607757\",\n        },\n{\n            'v': 256.86347310703997,\n            'f': \"256.86347310703997\",\n        },\n{\n            'v': 294.44417512353573,\n            'f': \"294.44417512353573\",\n        },\n{\n            'v': 331.74738713541626,\n            'f': \"331.74738713541626\",\n        }],\n [{\n            'v': 12,\n            'f': \"12\",\n        },\n\"III\",\n\"Nueva Ecija\",\n\"Cabanatuan\",\n{\n            'v': 15.467,\n            'f': \"15.467\",\n        },\n{\n            'v': 120.95,\n            'f': \"120.95\",\n        },\n{\n            'v': 320.0,\n            'f': \"320.0\",\n        },\n{\n            'v': 297.2,\n            'f': \"297.2\",\n        },\n\"1919-2018\",\n\"POINT (120.95 15.467)\",\n\"Cabanatuan\",\n{\n            'v': 97.64374057063036,\n            'f': \"97.64374057063036\",\n        },\n{\n            'v': 46.633972475393186,\n            'f': \"46.633972475393186\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 167.59190062791524,\n            'f': \"167.59190062791524\",\n        },\n{\n            'v': 202.58730857204307,\n            'f': \"202.58730857204307\",\n        },\n{\n            'v': 246.80409928047652,\n            'f': \"246.80409928047652\",\n        },\n{\n            'v': 279.60664054548266,\n            'f': \"279.60664054548266\",\n        },\n{\n            'v': 312.1669729948306,\n            'f': \"312.1669729948306\",\n        }],\n [{\n            'v': 13,\n            'f': \"13\",\n        },\n\"III\",\n\"Zambales\",\n\"Iba\",\n{\n            'v': 15.333,\n            'f': \"15.333\",\n        },\n{\n            'v': 119.967,\n            'f': \"119.967\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        },\n{\n            'v': 623.7,\n            'f': \"623.7\",\n        },\n\"1903-2018\",\n\"POINT (119.967 15.333)\",\n\"Iba\",\n{\n            'v': 146.381233782629,\n            'f': \"146.381233782629\",\n        },\n{\n            'v': 82.1551694793219,\n            'f': \"82.1551694793219\",\n        },\n{\n            'v': 0.18857661777487394,\n            'f': \"0.18857661777487394\",\n        },\n{\n            'v': 253.71458612280585,\n            'f': \"253.71458612280585\",\n        },\n{\n            'v': 297.0392233879943,\n            'f': \"297.0392233879943\",\n        },\n{\n            'v': 343.7021081168009,\n            'f': \"343.7021081168009\",\n        },\n{\n            'v': 373.30961348960216,\n            'f': \"373.30961348960216\",\n        },\n{\n            'v': 399.06000837599044,\n            'f': \"399.06000837599044\",\n        }],\n [{\n            'v': 14,\n            'f': \"14\",\n        },\n\"III\",\n\"Zambales\",\n\"Cubi Pt., Subic Bay\",\n{\n            'v': 14.8,\n            'f': \"14.8\",\n        },\n{\n            'v': 120.267,\n            'f': \"120.267\",\n        },\n{\n            'v': 190.0,\n            'f': \"190.0\",\n        },\n{\n            'v': 436.4,\n            'f': \"436.4\",\n        },\n\"1994-2018\",\n\"POINT (120.267 14.8)\",\n\"Cubi Pt., Subic Bay\",\n{\n            'v': 194.27943515069342,\n            'f': \"194.27943515069342\",\n        },\n{\n            'v': 102.32051724366617,\n            'f': \"102.32051724366617\",\n        },\n{\n            'v': 0.42914714826439093,\n            'f': \"0.42914714826439093\",\n        },\n{\n            'v': 307.44963798348084,\n            'f': \"307.44963798348084\",\n        },\n{\n            'v': 341.9371929293885,\n            'f': \"341.9371929293885\",\n        },\n{\n            'v': 372.28075843010043,\n            'f': \"372.28075843010043\",\n        },\n{\n            'v': 388.02550749695706,\n            'f': \"388.02550749695706\",\n        },\n{\n            'v': 399.594059331312,\n            'f': \"399.594059331312\",\n        }],\n [{\n            'v': 15,\n            'f': \"15\",\n        },\n\"IV-A\",\n\"Batangas\",\n\"Ambulong\",\n{\n            'v': 14.083,\n            'f': \"14.083\",\n        },\n{\n            'v': 121.05,\n            'f': \"121.05\",\n        },\n{\n            'v': 110.0,\n            'f': \"110.0\",\n        },\n{\n            'v': 499.2,\n            'f': \"499.2\",\n        },\n\"1919-2018\",\n\"POINT (121.05 14.083)\",\n\"Ambulong\",\n{\n            'v': 94.94052890284291,\n            'f': \"94.94052890284291\",\n        },\n{\n            'v': 74.50858490919109,\n            'f': \"74.50858490919109\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 206.69893476500525,\n            'f': \"206.69893476500525\",\n        },\n{\n            'v': 262.6122139867716,\n            'f': \"262.6122139867716\",\n        },\n{\n            'v': 333.2587905067032,\n            'f': \"333.2587905067032\",\n        },\n{\n            'v': 385.66845670811006,\n            'f': \"385.66845670811006\",\n        },\n{\n            'v': 437.69113816107534,\n            'f': \"437.69113816107534\",\n        }],\n [{\n            'v': 16,\n            'f': \"16\",\n        },\n\"IV-A\",\n\"Cavite\",\n\"Sangley Point\",\n{\n            'v': 14.495,\n            'f': \"14.495\",\n        },\n{\n            'v': 120.904,\n            'f': \"120.904\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        },\n{\n            'v': 475.4,\n            'f': \"475.4\",\n        },\n\"1974-2018\",\n\"POINT (120.904 14.495)\",\n\"Sangley Point\",\n{\n            'v': 128.19947834410067,\n            'f': \"128.19947834410067\",\n        },\n{\n            'v': 54.291530118576745,\n            'f': \"54.291530118576745\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 209.63351531131252,\n            'f': \"209.63351531131252\",\n        },\n{\n            'v': 250.37536387274537,\n            'f': \"250.37536387274537\",\n        },\n{\n            'v': 301.8527975346624,\n            'f': \"301.8527975346624\",\n        },\n{\n            'v': 340.0416985122629,\n            'f': \"340.0416985122629\",\n        },\n{\n            'v': 377.94861863958886,\n            'f': \"377.94861863958886\",\n        }],\n [{\n            'v': 17,\n            'f': \"17\",\n        },\n\"IV-A\",\n\"Quezon\",\n\"Alabat\",\n{\n            'v': 14.1,\n            'f': \"14.1\",\n        },\n{\n            'v': 122.017,\n            'f': \"122.017\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        },\n{\n            'v': 673.0,\n            'f': \"673.0\",\n        },\n\"1952-2018\",\n\"POINT (122.017 14.1)\",\n\"Alabat\",\n{\n            'v': 126.02916094009063,\n            'f': \"126.02916094009063\",\n        },\n{\n            'v': 59.316631792673554,\n            'f': \"59.316631792673554\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 215.0005488458125,\n            'f': \"215.0005488458125\",\n        },\n{\n            'v': 259.51337109254587,\n            'f': \"259.51337109254587\",\n        },\n{\n            'v': 315.7554400024976,\n            'f': \"315.7554400024976\",\n        },\n{\n            'v': 357.47901959046925,\n            'f': \"357.47901959046925\",\n        },\n{\n            'v': 398.8945188161489,\n            'f': \"398.8945188161489\",\n        }],\n [{\n            'v': 18,\n            'f': \"18\",\n        },\n\"IV-A\",\n\"Quezon\",\n\"Infanta\",\n{\n            'v': 14.75,\n            'f': \"14.75\",\n        },\n{\n            'v': 121.65,\n            'f': \"121.65\",\n        },\n{\n            'v': 70.0,\n            'f': \"70.0\",\n        },\n{\n            'v': 339.0,\n            'f': \"339.0\",\n        },\n\"1949-2018\",\n\"POINT (121.65 14.75)\",\n\"Infanta\",\n{\n            'v': 141.3020370813399,\n            'f': \"141.3020370813399\",\n        },\n{\n            'v': 71.40817200630339,\n            'f': \"71.40817200630339\",\n        },\n{\n            'v': 0.2810815345523588,\n            'f': \"0.2810815345523588\",\n        },\n{\n            'v': 228.69633648289903,\n            'f': \"228.69633648289903\",\n        },\n{\n            'v': 260.38889633608693,\n            'f': \"260.38889633608693\",\n        },\n{\n            'v': 291.9634833032756,\n            'f': \"291.9634833032756\",\n        },\n{\n            'v': 310.51054448925424,\n            'f': \"310.51054448925424\",\n        },\n{\n            'v': 325.628635692242,\n            'f': \"325.628635692242\",\n        }],\n [{\n            'v': 19,\n            'f': \"19\",\n        },\n\"IV-A\",\n\"Quezon\",\n\"Tayabas\",\n{\n            'v': 14.017,\n            'f': \"14.017\",\n        },\n{\n            'v': 121.6,\n            'f': \"121.6\",\n        },\n{\n            'v': 1580.0,\n            'f': \"1580.0\",\n        },\n{\n            'v': 557.7,\n            'f': \"557.7\",\n        },\n\"1970-2018\",\n\"POINT (121.6 14.017)\",\n\"Tayabas\",\n{\n            'v': 142.6134031488314,\n            'f': \"142.6134031488314\",\n        },\n{\n            'v': 67.69185111747551,\n            'f': \"67.69185111747551\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 244.14711741770472,\n            'f': \"244.14711741770472\",\n        },\n{\n            'v': 294.94493322889673,\n            'f': \"294.94493322889673\",\n        },\n{\n            'v': 359.12810816873684,\n            'f': \"359.12810816873684\",\n        },\n{\n            'v': 406.742853851346,\n            'f': \"406.742853851346\",\n        },\n{\n            'v': 454.00601972596166,\n            'f': \"454.00601972596166\",\n        }],\n [{\n            'v': 20,\n            'f': \"20\",\n        },\n\"IV-A\",\n\"Rizal\",\n\"Tanay\",\n{\n            'v': 14.583,\n            'f': \"14.583\",\n        },\n{\n            'v': 121.367,\n            'f': \"121.367\",\n        },\n{\n            'v': 6510.0,\n            'f': \"6510.0\",\n        },\n{\n            'v': 331.8,\n            'f': \"331.8\",\n        },\n\"2000-2018\",\n\"POINT (121.367 14.583)\",\n\"Tanay\",\n{\n            'v': 113.64591091038247,\n            'f': \"113.64591091038247\",\n        },\n{\n            'v': 58.80203808480865,\n            'f': \"58.80203808480865\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 201.8454391367429,\n            'f': \"201.8454391367429\",\n        },\n{\n            'v': 245.97209619581793,\n            'f': \"245.97209619581793\",\n        },\n{\n            'v': 301.7262443674593,\n            'f': \"301.7262443674593\",\n        },\n{\n            'v': 343.0878564789125,\n            'f': \"343.0878564789125\",\n        },\n{\n            'v': 384.1440609391019,\n            'f': \"384.1440609391019\",\n        }],\n [{\n            'v': 21,\n            'f': \"21\",\n        },\n\"IV-B\",\n\"Occidental Mindoro\",\n\"San Jose\",\n{\n            'v': 12.367,\n            'f': \"12.367\",\n        },\n{\n            'v': 121.05,\n            'f': \"121.05\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 286.7,\n            'f': \"286.7\",\n        },\n\"1980-2018\",\n\"POINT (121.05 12.367)\",\n\"San Jose\",\n{\n            'v': 110.26024113551384,\n            'f': \"110.26024113551384\",\n        },\n{\n            'v': 61.918065703352426,\n            'f': \"61.918065703352426\",\n        },\n{\n            'v': 0.38208191237924244,\n            'f': \"0.38208191237924244\",\n        },\n{\n            'v': 180.95242436386337,\n            'f': \"180.95242436386337\",\n        },\n{\n            'v': 203.727354253261,\n            'f': \"203.727354253261\",\n        },\n{\n            'v': 224.5717784883409,\n            'f': \"224.5717784883409\",\n        },\n{\n            'v': 235.82343493563445,\n            'f': \"235.82343493563445\",\n        },\n{\n            'v': 244.3679881382229,\n            'f': \"244.3679881382229\",\n        }],\n [{\n            'v': 22,\n            'f': \"22\",\n        },\n\"IV-B\",\n\"Oriental Mindoro\",\n\"Calapan\",\n{\n            'v': 13.417,\n            'f': \"13.417\",\n        },\n{\n            'v': 121.183,\n            'f': \"121.183\",\n        },\n{\n            'v': 410.0,\n            'f': \"410.0\",\n        },\n{\n            'v': 277.4,\n            'f': \"277.4\",\n        },\n\"1919-2018\",\n\"POINT (121.183 13.417)\",\n\"Calapan\",\n{\n            'v': 115.36653089318258,\n            'f': \"115.36653089318258\",\n        },\n{\n            'v': 67.12565399126935,\n            'f': \"67.12565399126935\",\n        },\n{\n            'v': 0.25971891828941923,\n            'f': \"0.25971891828941923\",\n        },\n{\n            'v': 198.75627419206972,\n            'f': \"198.75627419206972\",\n        },\n{\n            'v': 229.75739073949467,\n            'f': \"229.75739073949467\",\n        },\n{\n            'v': 261.20351291749677,\n            'f': \"261.20351291749677\",\n        },\n{\n            'v': 280.0075134197683,\n            'f': \"280.0075134197683\",\n        },\n{\n            'v': 295.5662915757554,\n            'f': \"295.5662915757554\",\n        }],\n [{\n            'v': 23,\n            'f': \"23\",\n        },\n\"IV-B\",\n\"Palawan\",\n\"Coron\",\n{\n            'v': 12.22,\n            'f': \"12.22\",\n        },\n{\n            'v': 120.2,\n            'f': \"120.2\",\n        },\n{\n            'v': 600.0,\n            'f': \"600.0\",\n        },\n{\n            'v': 317.6,\n            'f': \"317.6\",\n        },\n\"1949-2018\",\n\"POINT (120.2 12.22)\",\n\"Coron\",\n{\n            'v': 94.87295715077605,\n            'f': \"94.87295715077605\",\n        },\n{\n            'v': 41.83802144710493,\n            'f': \"41.83802144710493\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 157.62747848619097,\n            'f': \"157.62747848619097\",\n        },\n{\n            'v': 189.02387365473834,\n            'f': \"189.02387365473834\",\n        },\n{\n            'v': 228.693302180428,\n            'f': \"228.693302180428\",\n        },\n{\n            'v': 258.12235040678326,\n            'f': \"258.12235040678326\",\n        },\n{\n            'v': 287.3340991605377,\n            'f': \"287.3340991605377\",\n        }],\n [{\n            'v': 24,\n            'f': \"24\",\n        },\n\"IV-B\",\n\"Palawan\",\n\"Cuyo\",\n{\n            'v': 10.85,\n            'f': \"10.85\",\n        },\n{\n            'v': 121.0,\n            'f': \"121.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        },\n{\n            'v': 294.4,\n            'f': \"294.4\",\n        },\n\"1902-2018\",\n\"POINT (121 10.85)\",\n\"Cuyo\",\n{\n            'v': 67.99673404624497,\n            'f': \"67.99673404624497\",\n        },\n{\n            'v': 42.00400767200546,\n            'f': \"42.00400767200546\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 131.00022475763944,\n            'f': \"131.00022475763944\",\n        },\n{\n            'v': 162.52118052750734,\n            'f': \"162.52118052750734\",\n        },\n{\n            'v': 202.3479917031692,\n            'f': \"202.3479917031692\",\n        },\n{\n            'v': 231.8937953698764,\n            'f': \"231.8937953698764\",\n        },\n{\n            'v': 261.22143746013836,\n            'f': \"261.22143746013836\",\n        }],\n [{\n            'v': 25,\n            'f': \"25\",\n        },\n\"IV-B\",\n\"Palawan\",\n\"Puerto Princesa\",\n{\n            'v': 9.733,\n            'f': \"9.733\",\n        },\n{\n            'v': 118.767,\n            'f': \"118.767\",\n        },\n{\n            'v': 150.0,\n            'f': \"150.0\",\n        },\n{\n            'v': 269.3,\n            'f': \"269.3\",\n        },\n\"1949-2018\",\n\"POINT (118.767 9.733)\",\n\"Puerto Princesa\",\n{\n            'v': 82.70300132936976,\n            'f': \"82.70300132936976\",\n        },\n{\n            'v': 41.69702872136748,\n            'f': \"41.69702872136748\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 145.24604203760885,\n            'f': \"145.24604203760885\",\n        },\n{\n            'v': 176.53663240994376,\n            'f': \"176.53663240994376\",\n        },\n{\n            'v': 216.07237629513588,\n            'f': \"216.07237629513588\",\n        },\n{\n            'v': 245.40224961833428,\n            'f': \"245.40224961833428\",\n        },\n{\n            'v': 274.51555576084917,\n            'f': \"274.51555576084917\",\n        }],\n [{\n            'v': 26,\n            'f': \"26\",\n        },\n\"IV-B\",\n\"Romblon\",\n\"Romblon\",\n{\n            'v': 12.583,\n            'f': \"12.583\",\n        },\n{\n            'v': 122.283,\n            'f': \"122.283\",\n        },\n{\n            'v': 470.0,\n            'f': \"470.0\",\n        },\n{\n            'v': 385.8,\n            'f': \"385.8\",\n        },\n\"1904-2018\",\n\"POINT (122.283 12.583)\",\n\"Romblon\",\n{\n            'v': 95.2005618644318,\n            'f': \"95.2005618644318\",\n        },\n{\n            'v': 70.72421077324728,\n            'f': \"70.72421077324728\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 201.28263363523354,\n            'f': \"201.28263363523354\",\n        },\n{\n            'v': 254.3560150385063,\n            'f': \"254.3560150385063\",\n        },\n{\n            'v': 321.41437313634805,\n            'f': \"321.41437313634805\",\n        },\n{\n            'v': 371.1620939325673,\n            'f': \"371.1620939325673\",\n        },\n{\n            'v': 420.54248536736907,\n            'f': \"420.54248536736907\",\n        }],\n [{\n            'v': 27,\n            'f': \"27\",\n        },\n\"NCR\",\n\"Metro Manila\",\n\"NAIA (MIA)\",\n{\n            'v': 14.509,\n            'f': \"14.509\",\n        },\n{\n            'v': 121.02,\n            'f': \"121.02\",\n        },\n{\n            'v': 22.9,\n            'f': \"22.9\",\n        },\n{\n            'v': 472.4,\n            'f': \"472.4\",\n        },\n\"1947-2018\",\n\"POINT (121.02 14.509)\",\n\"NAIA (MIA)\",\n{\n            'v': 74.31931043088392,\n            'f': \"74.31931043088392\",\n        },\n{\n            'v': 81.33619764977733,\n            'f': \"81.33619764977733\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 196.3187256567603,\n            'f': \"196.3187256567603\",\n        },\n{\n            'v': 257.35563214977014,\n            'f': \"257.35563214977014\",\n        },\n{\n            'v': 334.4759253093903,\n            'f': \"334.4759253093903\",\n        },\n{\n            'v': 391.68816433005975,\n            'f': \"391.68816433005975\",\n        },\n{\n            'v': 448.47795715845416,\n            'f': \"448.47795715845416\",\n        }],\n [{\n            'v': 28,\n            'f': \"28\",\n        },\n\"NCR\",\n\"Metro Manila\",\n\"Port Area (MCO)\",\n{\n            'v': 14.583,\n            'f': \"14.583\",\n        },\n{\n            'v': 120.983,\n            'f': \"120.983\",\n        },\n{\n            'v': 130.0,\n            'f': \"130.0\",\n        },\n{\n            'v': 403.1,\n            'f': \"403.1\",\n        },\n\"1865-2018\",\n\"POINT (120.983 14.583)\",\n\"Port Area (MCO)\",\n{\n            'v': 125.07012380576569,\n            'f': \"125.07012380576569\",\n        },\n{\n            'v': 50.86812084224828,\n            'f': \"50.86812084224828\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 201.36925230836903,\n            'f': \"201.36925230836903\",\n        },\n{\n            'v': 239.54208095094245,\n            'f': \"239.54208095094245\",\n        },\n{\n            'v': 287.77355113504086,\n            'f': \"287.77355113504086\",\n        },\n{\n            'v': 323.55441097668574,\n            'f': \"323.55441097668574\",\n        },\n{\n            'v': 359.07107056581174,\n            'f': \"359.07107056581174\",\n        }],\n [{\n            'v': 29,\n            'f': \"29\",\n        },\n\"NCR\",\n\"Metro Manila\",\n\"Science Garden\",\n{\n            'v': 14.65,\n            'f': \"14.65\",\n        },\n{\n            'v': 121.05,\n            'f': \"121.05\",\n        },\n{\n            'v': 460.0,\n            'f': \"460.0\",\n        },\n{\n            'v': 455.0,\n            'f': \"455.0\",\n        },\n\"1961-2018\",\n\"POINT (121.05 14.65)\",\n\"Science Garden\",\n{\n            'v': 120.0354767989003,\n            'f': \"120.0354767989003\",\n        },\n{\n            'v': 76.53209343973523,\n            'f': \"76.53209343973523\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 234.8290240195748,\n            'f': \"234.8290240195748\",\n        },\n{\n            'v': 292.26079936650365,\n            'f': \"292.26079936650365\",\n        },\n{\n            'v': 364.825999766033,\n            'f': \"364.825999766033\",\n        },\n{\n            'v': 418.6590107641606,\n            'f': \"418.6590107641606\",\n        },\n{\n            'v': 472.0945272592912,\n            'f': \"472.0945272592912\",\n        }],\n [{\n            'v': 30,\n            'f': \"30\",\n        },\n\"V\",\n\"Albay\",\n\"Legazpi\",\n{\n            'v': 13.133,\n            'f': \"13.133\",\n        },\n{\n            'v': 123.733,\n            'f': \"123.733\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 484.6,\n            'f': \"484.6\",\n        },\n\"1902-2018\",\n\"POINT (123.733 13.133)\",\n\"Legazpi\",\n{\n            'v': 147.25959380752715,\n            'f': \"147.25959380752715\",\n        },\n{\n            'v': 71.51270955118008,\n            'f': \"71.51270955118008\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 254.52436642486128,\n            'f': \"254.52436642486128\",\n        },\n{\n            'v': 308.18945886908745,\n            'f': \"308.18945886908745\",\n        },\n{\n            'v': 375.9954454357693,\n            'f': \"375.9954454357693\",\n        },\n{\n            'v': 426.2977997390138,\n            'f': \"426.2977997390138\",\n        },\n{\n            'v': 476.2287293540863,\n            'f': \"476.2287293540863\",\n        }],\n [{\n            'v': 31,\n            'f': \"31\",\n        },\n\"V\",\n\"Camarines Norte\",\n\"Daet\",\n{\n            'v': 14.133,\n            'f': \"14.133\",\n        },\n{\n            'v': 122.983,\n            'f': \"122.983\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        },\n{\n            'v': 507.5,\n            'f': \"507.5\",\n        },\n\"1920-2018\",\n\"POINT (122.983 14.133)\",\n\"Daet\",\n{\n            'v': 166.26132085249805,\n            'f': \"166.26132085249805\",\n        },\n{\n            'v': 83.54352121707194,\n            'f': \"83.54352121707194\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 291.57158896067625,\n            'f': \"291.57158896067625\",\n        },\n{\n            'v': 354.2649314080308,\n            'f': \"354.2649314080308\",\n        },\n{\n            'v': 433.47813578709207,\n            'f': \"433.47813578709207\",\n        },\n{\n            'v': 492.24301590947357,\n            'f': \"492.24301590947357\",\n        },\n{\n            'v': 550.5739853814043,\n            'f': \"550.5739853814043\",\n        }],\n [{\n            'v': 32,\n            'f': \"32\",\n        },\n\"V\",\n\"Catanduanes\",\n\"Virac Synop\",\n{\n            'v': 13.6,\n            'f': \"13.6\",\n        },\n{\n            'v': 124.217,\n            'f': \"124.217\",\n        },\n{\n            'v': 400.0,\n            'f': \"400.0\",\n        },\n{\n            'v': 494.2,\n            'f': \"494.2\",\n        },\n\"1908-2018\",\n\"POINT (124.217 13.6)\",\n\"Virac Synop\",\n{\n            'v': 109.14521548325399,\n            'f': \"109.14521548325399\",\n        },\n{\n            'v': 59.40341990305028,\n            'f': \"59.40341990305028\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 198.2467803461052,\n            'f': \"198.2467803461052\",\n        },\n{\n            'v': 242.82473076370016,\n            'f': \"242.82473076370016\",\n        },\n{\n            'v': 299.149089290187,\n            'f': \"299.149089290187\",\n        },\n{\n            'v': 340.93371601656077,\n            'f': \"340.93371601656077\",\n        },\n{\n            'v': 382.4098116181552,\n            'f': \"382.4098116181552\",\n        }],\n [{\n            'v': 33,\n            'f': \"33\",\n        },\n\"V\",\n\"Masbate\",\n\"Masbate\",\n{\n            'v': 12.367,\n            'f': \"12.367\",\n        },\n{\n            'v': 123.633,\n            'f': \"123.633\",\n        },\n{\n            'v': 60.0,\n            'f': \"60.0\",\n        },\n{\n            'v': 603.5,\n            'f': \"603.5\",\n        },\n\"1907-2018\",\n\"POINT (123.633 12.367)\",\n\"Masbate\",\n{\n            'v': 95.98915881236059,\n            'f': \"95.98915881236059\",\n        },\n{\n            'v': 64.63391421144104,\n            'f': \"64.63391421144104\",\n        },\n{\n            'v': 0.22997348466532092,\n            'f': \"0.22997348466532092\",\n        },\n{\n            'v': 177.98299488767572,\n            'f': \"177.98299488767572\",\n        },\n{\n            'v': 209.53483325698397,\n            'f': \"209.53483325698397\",\n        },\n{\n            'v': 242.35172799687552,\n            'f': \"242.35172799687552\",\n        },\n{\n            'v': 262.4683368648689,\n            'f': \"262.4683368648689\",\n        },\n{\n            'v': 279.46388394288493,\n            'f': \"279.46388394288493\",\n        }],\n [{\n            'v': 34,\n            'f': \"34\",\n        },\n\"VI\",\n\"Capiz\",\n\"Roxas City\",\n{\n            'v': 11.6,\n            'f': \"11.6\",\n        },\n{\n            'v': 122.75,\n            'f': \"122.75\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        },\n{\n            'v': 370.2,\n            'f': \"370.2\",\n        },\n\"1903-2018\",\n\"POINT (122.75 11.6)\",\n\"Roxas City\",\n{\n            'v': 111.99393827879871,\n            'f': \"111.99393827879871\",\n        },\n{\n            'v': 54.044305296662685,\n            'f': \"54.044305296662685\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 193.05715284990217,\n            'f': \"193.05715284990217\",\n        },\n{\n            'v': 233.61347714570735,\n            'f': \"233.61347714570735\",\n        },\n{\n            'v': 284.8565004061886,\n            'f': \"284.8565004061886\",\n        },\n{\n            'v': 322.8715023571332,\n            'f': \"322.8715023571332\",\n        },\n{\n            'v': 360.6058075009189,\n            'f': \"360.6058075009189\",\n        }],\n [{\n            'v': 35,\n            'f': \"35\",\n        },\n\"VI\",\n\"lloilo\",\n\"Iloilo\",\n{\n            'v': 10.713,\n            'f': \"10.713\",\n        },\n{\n            'v': 122.541,\n            'f': \"122.541\",\n        },\n{\n            'v': 8.2,\n            'f': \"8.2\",\n        },\n{\n            'v': 319.8,\n            'f': \"319.8\",\n        },\n\"1903-2010\",\n\"POINT (122.541 10.713)\",\n\"Iloilo\",\n{\n            'v': 100.37527070363518,\n            'f': \"100.37527070363518\",\n        },\n{\n            'v': 50.1217327518571,\n            'f': \"50.1217327518571\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 175.55486186381972,\n            'f': \"175.55486186381972\",\n        },\n{\n            'v': 213.1675804767005,\n            'f': \"213.1675804767005\",\n        },\n{\n            'v': 260.69135015345944,\n            'f': \"260.69135015345944\",\n        },\n{\n            'v': 295.947197330835,\n            'f': \"295.947197330835\",\n        },\n{\n            'v': 330.94272086679297,\n            'f': \"330.94272086679297\",\n        }],\n [{\n            'v': 36,\n            'f': \"36\",\n        },\n\"VII\",\n\"Bohol\",\n\"Tagbilaran-Dauis\",\n{\n            'v': 9.667,\n            'f': \"9.667\",\n        },\n{\n            'v': 123.85,\n            'f': \"123.85\",\n        },\n{\n            'v': 80.0,\n            'f': \"80.0\",\n        },\n{\n            'v': 229.1,\n            'f': \"229.1\",\n        },\n\"1903-2018\",\n\"POINT (123.85 9.667)\",\n\"Tagbilaran-Dauis\",\n{\n            'v': 79.38361118086294,\n            'f': \"79.38361118086294\",\n        },\n{\n            'v': 35.62860481732797,\n            'f': \"35.62860481732797\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 132.82438021882587,\n            'f': \"132.82438021882587\",\n        },\n{\n            'v': 159.5610593795046,\n            'f': \"159.5610593795046\",\n        },\n{\n            'v': 193.34292437658453,\n            'f': \"193.34292437658453\",\n        },\n{\n            'v': 218.4042416459138,\n            'f': \"218.4042416459138\",\n        },\n{\n            'v': 243.2805100824225,\n            'f': \"243.2805100824225\",\n        }],\n [{\n            'v': 37,\n            'f': \"37\",\n        },\n\"VII\",\n\"Cebu\",\n\"Mactan\",\n{\n            'v': 10.317,\n            'f': \"10.317\",\n        },\n{\n            'v': 123.983,\n            'f': \"123.983\",\n        },\n{\n            'v': 240.0,\n            'f': \"240.0\",\n        },\n{\n            'v': 276.1,\n            'f': \"276.1\",\n        },\n\"1972-2018\",\n\"POINT (123.983 10.317)\",\n\"Mactan\",\n{\n            'v': 100.78679157197237,\n            'f': \"100.78679157197237\",\n        },\n{\n            'v': 46.146602355150804,\n            'f': \"46.146602355150804\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 170.0039256975539,\n            'f': \"170.0039256975539\",\n        },\n{\n            'v': 204.6335977784833,\n            'f': \"204.6335977784833\",\n        },\n{\n            'v': 248.3882802542185,\n            'f': \"248.3882802542185\",\n        },\n{\n            'v': 280.84800323392807,\n            'f': \"280.84800323392807\",\n        },\n{\n            'v': 313.0680487143856,\n            'f': \"313.0680487143856\",\n        }],\n [{\n            'v': 38,\n            'f': \"38\",\n        },\n\"VII\",\n\"Negros Oriental\",\n\"Dumaguete\",\n{\n            'v': 9.333,\n            'f': \"9.333\",\n        },\n{\n            'v': 123.3,\n            'f': \"123.3\",\n        },\n{\n            'v': 80.0,\n            'f': \"80.0\",\n        },\n{\n            'v': 208.3,\n            'f': \"208.3\",\n        },\n\"1910-2018\",\n\"POINT (123.3 9.333)\",\n\"Dumaguete\",\n{\n            'v': 68.18983203876388,\n            'f': \"68.18983203876388\",\n        },\n{\n            'v': 37.722110270451516,\n            'f': \"37.722110270451516\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 124.77073361836592,\n            'f': \"124.77073361836592\",\n        },\n{\n            'v': 153.07843650866522,\n            'f': \"153.07843650866522\",\n        },\n{\n            'v': 188.8452941528239,\n            'f': \"188.8452941528239\",\n        },\n{\n            'v': 215.379192361957,\n            'f': \"215.379192361957\",\n        },\n{\n            'v': 241.71716843176227,\n            'f': \"241.71716843176227\",\n        }],\n [{\n            'v': 39,\n            'f': \"39\",\n        },\n\"VIII\",\n\"Eastern Samar\",\n\"Borongan\",\n{\n            'v': 11.667,\n            'f': \"11.667\",\n        },\n{\n            'v': 125.45,\n            'f': \"125.45\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 427.8,\n            'f': \"427.8\",\n        },\n\"1949-2018\",\n\"POINT (125.45 11.667)\",\n\"Borongan\",\n{\n            'v': 114.6331190055678,\n            'f': \"114.6331190055678\",\n        },\n{\n            'v': 84.18626511591197,\n            'f': \"84.18626511591197\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 240.90746438886188,\n            'f': \"240.90746438886188\",\n        },\n{\n            'v': 304.08313943087956,\n            'f': \"304.08313943087956\",\n        },\n{\n            'v': 383.90577232193664,\n            'f': \"383.90577232193664\",\n        },\n{\n            'v': 443.1227613285796,\n            'f': \"443.1227613285796\",\n        },\n{\n            'v': 501.90250138373835,\n            'f': \"501.90250138373835\",\n        }],\n [{\n            'v': 40,\n            'f': \"40\",\n        },\n\"VIII\",\n\"Eastern Samar\",\n\"Guiuan\",\n{\n            'v': 11.036,\n            'f': \"11.036\",\n        },\n{\n            'v': 125.742,\n            'f': \"125.742\",\n        },\n{\n            'v': 2.1,\n            'f': \"2.1\",\n        },\n{\n            'v': 780.4,\n            'f': \"780.4\",\n        },\n\"1973-2018\",\n\"POINT (125.742 11.036)\",\n\"Guiuan\",\n{\n            'v': 115.50539902623046,\n            'f': \"115.50539902623046\",\n        },\n{\n            'v': 49.87983389452331,\n            'f': \"49.87983389452331\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 190.3221564175486,\n            'f': \"190.3221564175486\",\n        },\n{\n            'v': 227.7533475142376,\n            'f': \"227.7533475142376\",\n        },\n{\n            'v': 275.04775669306804,\n            'f': \"275.04775669306804\",\n        },\n{\n            'v': 310.13345115068904,\n            'f': \"310.13345115068904\",\n        },\n{\n            'v': 344.96007834786604,\n            'f': \"344.96007834786604\",\n        }],\n [{\n            'v': 41,\n            'f': \"41\",\n        },\n\"VIII\",\n\"Leyte\",\n\"Tacloban\",\n{\n            'v': 11.228,\n            'f': \"11.228\",\n        },\n{\n            'v': 125.028,\n            'f': \"125.028\",\n        },\n{\n            'v': 3.0,\n            'f': \"3.0\",\n        },\n{\n            'v': 325.9,\n            'f': \"325.9\",\n        },\n\"1903-2018\",\n\"POINT (125.028 11.228)\",\n\"Tacloban\",\n{\n            'v': 106.67365957323858,\n            'f': \"106.67365957323858\",\n        },\n{\n            'v': 62.734473575865636,\n            'f': \"62.734473575865636\",\n        },\n{\n            'v': 0.2501040815158996,\n            'f': \"0.2501040815158996\",\n        },\n{\n            'v': 185.13629899704299,\n            'f': \"185.13629899704299\",\n        },\n{\n            'v': 214.63311685182737,\n            'f': \"214.63311685182737\",\n        },\n{\n            'v': 244.79660530777255,\n            'f': \"244.79660530777255\",\n        },\n{\n            'v': 262.97890181263665,\n            'f': \"262.97890181263665\",\n        },\n{\n            'v': 278.12500656904393,\n            'f': \"278.12500656904393\",\n        }],\n [{\n            'v': 42,\n            'f': \"42\",\n        },\n\"VIII\",\n\"Northern Samar\",\n\"Catarman\",\n{\n            'v': 12.5,\n            'f': \"12.5\",\n        },\n{\n            'v': 124.633,\n            'f': \"124.633\",\n        },\n{\n            'v': 70.0,\n            'f': \"70.0\",\n        },\n{\n            'v': 485.8,\n            'f': \"485.8\",\n        },\n\"1919-2018\",\n\"POINT (124.633 12.5)\",\n\"Catarman\",\n{\n            'v': 120.92292657785731,\n            'f': \"120.92292657785731\",\n        },\n{\n            'v': 75.66569321990997,\n            'f': \"75.66569321990997\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 234.41692546427865,\n            'f': \"234.41692546427865\",\n        },\n{\n            'v': 291.1985303983895,\n            'f': \"291.1985303983895\",\n        },\n{\n            'v': 362.94223875775515,\n            'f': \"362.94223875775515\",\n        },\n{\n            'v': 416.1658200321373,\n            'f': \"416.1658200321373\",\n        },\n{\n            'v': 468.99640673694,\n            'f': \"468.99640673694\",\n        }],\n [{\n            'v': 43,\n            'f': \"43\",\n        },\n\"VIII\",\n\"Southern Leyte\",\n\"Maasin\",\n{\n            'v': 10.133,\n            'f': \"10.133\",\n        },\n{\n            'v': 124.867,\n            'f': \"124.867\",\n        },\n{\n            'v': 720.0,\n            'f': \"720.0\",\n        },\n{\n            'v': 281.9,\n            'f': \"281.9\",\n        },\n\"1973-2018\",\n\"POINT (124.867 10.133)\",\n\"Maasin\",\n{\n            'v': 92.1113204383177,\n            'f': \"92.1113204383177\",\n        },\n{\n            'v': 72.5606908841138,\n            'f': \"72.5606908841138\",\n        },\n{\n            'v': 0.3281874681195543,\n            'f': \"0.3281874681195543\",\n        },\n{\n            'v': 178.06375755028455,\n            'f': \"178.06375755028455\",\n        },\n{\n            'v': 207.565075348471,\n            'f': \"207.565075348471\",\n        },\n{\n            'v': 235.81524278376241,\n            'f': \"235.81524278376241\",\n        },\n{\n            'v': 251.76871306800928,\n            'f': \"251.76871306800928\",\n        },\n{\n            'v': 264.3503235851652,\n            'f': \"264.3503235851652\",\n        }],\n [{\n            'v': 44,\n            'f': \"44\",\n        },\n\"VIII\",\n\"Western Samar\",\n\"Catbalogan\",\n{\n            'v': 11.783,\n            'f': \"11.783\",\n        },\n{\n            'v': 124.883,\n            'f': \"124.883\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        },\n{\n            'v': 387.9,\n            'f': \"387.9\",\n        },\n\"1919-2018\",\n\"POINT (124.883 11.783)\",\n\"Catbalogan\",\n{\n            'v': 119.91449749005521,\n            'f': \"119.91449749005521\",\n        },\n{\n            'v': 63.2639421066811,\n            'f': \"63.2639421066811\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 214.80661397590524,\n            'f': \"214.80661397590524\",\n        },\n{\n            'v': 262.2816058039164,\n            'f': \"262.2816058039164\",\n        },\n{\n            'v': 322.266383832372,\n            'f': \"322.266383832372\",\n        },\n{\n            'v': 366.7665188495287,\n            'f': \"366.7665188495287\",\n        },\n{\n            'v': 410.93807185494256,\n            'f': \"410.93807185494256\",\n        }],\n [{\n            'v': 45,\n            'f': \"45\",\n        },\n\"IX\",\n\"Zamboanga Del Norte\",\n\"Dipolog\",\n{\n            'v': 8.6,\n            'f': \"8.6\",\n        },\n{\n            'v': 123.35,\n            'f': \"123.35\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        },\n{\n            'v': 295.8,\n            'f': \"295.8\",\n        },\n\"1949-2018\",\n\"POINT (123.35 8.6)\",\n\"Dipolog\",\n{\n            'v': 94.20788998478781,\n            'f': \"94.20788998478781\",\n        },\n{\n            'v': 44.53476033375193,\n            'f': \"44.53476033375193\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 161.0073578101339,\n            'f': \"161.0073578101339\",\n        },\n{\n            'v': 194.42745956955346,\n            'f': \"194.42745956955346\",\n        },\n{\n            'v': 236.65384673755227,\n            'f': \"236.65384673755227\",\n        },\n{\n            'v': 267.9797929529618,\n            'f': \"267.9797929529618\",\n        },\n{\n            'v': 299.074433298777,\n            'f': \"299.074433298777\",\n        }],\n [{\n            'v': 46,\n            'f': \"46\",\n        },\n\"IX\",\n\"Zamboanga del Sur\",\n\"Zamboanga\",\n{\n            'v': 6.917,\n            'f': \"6.917\",\n        },\n{\n            'v': 122.067,\n            'f': \"122.067\",\n        },\n{\n            'v': 60.0,\n            'f': \"60.0\",\n        },\n{\n            'v': 199.1,\n            'f': \"199.1\",\n        },\n\"1902-2018\",\n\"POINT (122.067 6.917)\",\n\"Zamboanga\",\n{\n            'v': 70.41853048478015,\n            'f': \"70.41853048478015\",\n        },\n{\n            'v': 31.358243748144226,\n            'f': \"31.358243748144226\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 117.45401419717327,\n            'f': \"117.45401419717327\",\n        },\n{\n            'v': 140.98609765750365,\n            'f': \"140.98609765750365\",\n        },\n{\n            'v': 170.718947491975,\n            'f': \"170.718947491975\",\n        },\n{\n            'v': 192.77647401063876,\n            'f': \"192.77647401063876\",\n        },\n{\n            'v': 214.6711312158773,\n            'f': \"214.6711312158773\",\n        }],\n [{\n            'v': 47,\n            'f': \"47\",\n        },\n\"X\",\n\"Bukidnon\",\n\"Malaybalay\",\n{\n            'v': 8.15,\n            'f': \"8.15\",\n        },\n{\n            'v': 125.133,\n            'f': \"125.133\",\n        },\n{\n            'v': 6270.0,\n            'f': \"6270.0\",\n        },\n{\n            'v': 195.9,\n            'f': \"195.9\",\n        },\n\"1949-2018\",\n\"POINT (125.133 8.15)\",\n\"Malaybalay\",\n{\n            'v': 96.50166023946728,\n            'f': \"96.50166023946728\",\n        },\n{\n            'v': 31.9820737278222,\n            'f': \"31.9820737278222\",\n        },\n{\n            'v': 0.32470835528501374,\n            'f': \"0.32470835528501374\",\n        },\n{\n            'v': 134.47724509102125,\n            'f': \"134.47724509102125\",\n        },\n{\n            'v': 147.56474777721823,\n            'f': \"147.56474777721823\",\n        },\n{\n            'v': 160.13389685724957,\n            'f': \"160.13389685724957\",\n        },\n{\n            'v': 167.2526563839889,\n            'f': \"167.2526563839889\",\n        },\n{\n            'v': 172.88053318948357,\n            'f': \"172.88053318948357\",\n        }],\n [{\n            'v': 48,\n            'f': \"48\",\n        },\n\"X\",\n\"Misamis Oriental\",\n\"Lumbia-El Salvador\",\n{\n            'v': 8.417,\n            'f': \"8.417\",\n        },\n{\n            'v': 124.617,\n            'f': \"124.617\",\n        },\n{\n            'v': 1880.0,\n            'f': \"1880.0\",\n        },\n{\n            'v': 237.1,\n            'f': \"237.1\",\n        },\n\"1977-2018\",\n\"POINT (124.617 8.417)\",\n\"Lumbia-El Salvador\",\n{\n            'v': 66.98556753378844,\n            'f': \"66.98556753378844\",\n        },\n{\n            'v': 43.03335954102283,\n            'f': \"43.03335954102283\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 131.53302427396773,\n            'f': \"131.53302427396773\",\n        },\n{\n            'v': 163.8264338293955,\n            'f': \"163.8264338293955\",\n        },\n{\n            'v': 204.6292424108476,\n            'f': \"204.6292424108476\",\n        },\n{\n            'v': 234.89909670775725,\n            'f': \"234.89909670775725\",\n        },\n{\n            'v': 264.94544315202313,\n            'f': \"264.94544315202313\",\n        }],\n [{\n            'v': 49,\n            'f': \"49\",\n        },\n\"XI\",\n\"Davao Del Sur\",\n\"Davao City\",\n{\n            'v': 7.126,\n            'f': \"7.126\",\n        },\n{\n            'v': 125.646,\n            'f': \"125.646\",\n        },\n{\n            'v': 29.3,\n            'f': \"29.3\",\n        },\n{\n            'v': 242.6,\n            'f': \"242.6\",\n        },\n\"1902-2018\",\n\"POINT (125.646 7.126)\",\n\"Davao City\",\n{\n            'v': 78.1788177355328,\n            'f': \"78.1788177355328\",\n        },\n{\n            'v': 39.42425906861007,\n            'f': \"39.42425906861007\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 137.3128403609075,\n            'f': \"137.3128403609075\",\n        },\n{\n            'v': 166.8978822470343,\n            'f': \"166.8978822470343\",\n        },\n{\n            'v': 204.27866109858104,\n            'f': \"204.27866109858104\",\n        },\n{\n            'v': 232.00985825581978,\n            'f': \"232.00985825581978\",\n        },\n{\n            'v': 259.53629260623893,\n            'f': \"259.53629260623893\",\n        }],\n [{\n            'v': 50,\n            'f': \"50\",\n        },\n\"XII\",\n\"South Cotabato\",\n\"General Santos\",\n{\n            'v': 6.05,\n            'f': \"6.05\",\n        },\n{\n            'v': 125.1,\n            'f': \"125.1\",\n        },\n{\n            'v': 133.0,\n            'f': \"133.0\",\n        },\n{\n            'v': 189.5,\n            'f': \"189.5\",\n        },\n\"1949-2018\",\n\"POINT (125.1 6.05)\",\n\"General Santos\",\n{\n            'v': 50.47828053680972,\n            'f': \"50.47828053680972\",\n        },\n{\n            'v': 33.541494387963944,\n            'f': \"33.541494387963944\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 100.78850918498674,\n            'f': \"100.78850918498674\",\n        },\n{\n            'v': 125.95896361671753,\n            'f': \"125.95896361671753\",\n        },\n{\n            'v': 157.7618995167905,\n            'f': \"157.7618995167905\",\n        },\n{\n            'v': 181.355134134144,\n            'f': \"181.355134134144\",\n        },\n{\n            'v': 204.77416001053302,\n            'f': \"204.77416001053302\",\n        }],\n [{\n            'v': 51,\n            'f': \"51\",\n        },\n\"CARAGA\",\n\"Agusan Del Norte\",\n\"Butuan\",\n{\n            'v': 8.95,\n            'f': \"8.95\",\n        },\n{\n            'v': 125.483,\n            'f': \"125.483\",\n        },\n{\n            'v': 460.0,\n            'f': \"460.0\",\n        },\n{\n            'v': 271.6,\n            'f': \"271.6\",\n        },\n\"1980-2018\",\n\"POINT (125.483 8.95)\",\n\"Butuan\",\n{\n            'v': 91.29088224836275,\n            'f': \"91.29088224836275\",\n        },\n{\n            'v': 37.164093082394864,\n            'f': \"37.164093082394864\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 147.03479153429953,\n            'f': \"147.03479153429953\",\n        },\n{\n            'v': 174.92374307018264,\n            'f': \"174.92374307018264\",\n        },\n{\n            'v': 210.16150726794814,\n            'f': \"210.16150726794814\",\n        },\n{\n            'v': 236.30289373368495,\n            'f': \"236.30289373368495\",\n        },\n{\n            'v': 262.25125630519426,\n            'f': \"262.25125630519426\",\n        }],\n [{\n            'v': 52,\n            'f': \"52\",\n        },\n\"CARAGA\",\n\"Surigao Del Sur\",\n\"Hinatuan\",\n{\n            'v': 8.367,\n            'f': \"8.367\",\n        },\n{\n            'v': 126.333,\n            'f': \"126.333\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 375.5,\n            'f': \"375.5\",\n        },\n\"1949-2018\",\n\"POINT (126.333 8.367)\",\n\"Hinatuan\",\n{\n            'v': 118.8947419746774,\n            'f': \"118.8947419746774\",\n        },\n{\n            'v': 68.79440465656388,\n            'f': \"68.79440465656388\",\n        },\n{\n            'v': -0.0,\n            'f': \"-0.0\",\n        },\n{\n            'v': 222.0822203843726,\n            'f': \"222.0822203843726\",\n        },\n{\n            'v': 273.70742251571994,\n            'f': \"273.70742251571994\",\n        },\n{\n            'v': 338.93600226443493,\n            'f': \"338.93600226443493\",\n        },\n{\n            'v': 387.3262889538049,\n            'f': \"387.3262889538049\",\n        },\n{\n            'v': 435.35926936212485,\n            'f': \"435.35926936212485\",\n        }],\n [{\n            'v': 53,\n            'f': \"53\",\n        },\n\"CARAGA\",\n\"Surigao Del Norte\",\n\"Surigao\",\n{\n            'v': 9.783,\n            'f': \"9.783\",\n        },\n{\n            'v': 125.483,\n            'f': \"125.483\",\n        },\n{\n            'v': 550.0,\n            'f': \"550.0\",\n        },\n{\n            'v': 566.4,\n            'f': \"566.4\",\n        },\n\"1902-2018\",\n\"POINT (125.483 9.783)\",\n\"Surigao\",\n{\n            'v': 132.27450232156434,\n            'f': \"132.27450232156434\",\n        },\n{\n            'v': 83.46279363749636,\n            'f': \"83.46279363749636\",\n        },\n{\n            'v': 0.3017590740134812,\n            'f': \"0.3017590740134812\",\n        },\n{\n            'v': 232.96357944955687,\n            'f': \"232.96357944955687\",\n        },\n{\n            'v': 268.6075346843681,\n            'f': \"268.6075346843681\",\n        },\n{\n            'v': 303.50649897104256,\n            'f': \"303.50649897104256\",\n        },\n{\n            'v': 323.6551654591093,\n            'f': \"323.6551654591093\",\n        },\n{\n            'v': 339.84242122976605,\n            'f': \"339.84242122976605\",\n        }],\n [{\n            'v': 54,\n            'f': \"54\",\n        },\n\"BARMM\",\n\"Maguindanao\",\n\"Cotabato\",\n{\n            'v': 7.167,\n            'f': \"7.167\",\n        },\n{\n            'v': 124.217,\n            'f': \"124.217\",\n        },\n{\n            'v': 620.0,\n            'f': \"620.0\",\n        },\n{\n            'v': 201.7,\n            'f': \"201.7\",\n        },\n\"1986-2018\",\n\"POINT (124.217 7.167)\",\n\"Cotabato\",\n{\n            'v': 60.49303135619812,\n            'f': \"60.49303135619812\",\n        },\n{\n            'v': 40.18119395295862,\n            'f': \"40.18119395295862\",\n        },\n{\n            'v': 0.2164826213084426,\n            'f': \"0.2164826213084426\",\n        },\n{\n            'v': 111.95577210798422,\n            'f': \"111.95577210798422\",\n        },\n{\n            'v': 132.0704109387055,\n            'f': \"132.0704109387055\",\n        },\n{\n            'v': 153.23084291908788,\n            'f': \"153.23084291908788\",\n        },\n{\n            'v': 166.34873668790198,\n            'f': \"166.34873668790198\",\n        },\n{\n            'v': 177.53670726651723,\n            'f': \"177.53670726651723\",\n        }]],\n        columns: [[\"number\", \"index\"], [\"string\", \"Region\"], [\"string\", \"Administrative Province\"], [\"string\", \"Station Name\"], [\"number\", \"LAT\"], [\"number\", \"LON\"], [\"number\", \"ALT\"], [\"number\", \"Rx1day (mm)\"], [\"string\", \"Period Covered\"], [\"string\", \"geometry\"], [\"string\", \"station_name\"], [\"number\", \"location\"], [\"number\", \"scale\"], [\"number\", \"shape\"], [\"number\", \"rl_5\"], [\"number\", \"rl_10\"], [\"number\", \"rl_25\"], [\"number\", \"rl_50\"], [\"number\", \"rl_100\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    "
          },
          "metadata": {},
          "execution_count": 110
        }
      ],
      "source": [
        "# we concatenate the parameter dataframe to the initial data frame containint PAGASA station coordinates\n",
        "stations_pars = pd.concat([stations, pars], axis=1)\n",
        "plot_stations_pars = gpd.GeoDataFrame(stations_pars, geometry=gpd.points_from_xy(stations_pars.LON, stations_pars.LAT), crs = 4326)\n",
        "plot_stations_pars"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o89vHN63kdUI"
      },
      "source": [
        "## Visualization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V2ZgPTE_-i-t"
      },
      "source": [
        "The visualization below shows the amount of rainfall (mm) that comes once in every 5 years and once in every 100 years per weather station in the Philippines."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "bVMPMtjkFqiB",
        "outputId": "a8054334-ed15-4a6e-86ac-ec13f10e2514"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig, (ax1, ax2) = plt.subplots(1,2)\n",
        "\n",
        "# basemap\n",
        "province.plot(ax=ax1, alpha = 0.1)\n",
        "# point layer\n",
        "plot_stations_pars.plot(column = 'rl_5',legend = True,vmin = 100, vmax = 600, ax = ax1)\n",
        "# Title \n",
        "ax1.set_title(\"5-year Rainfall Return Levels (mm)\")\n",
        "\n",
        "# basemap\n",
        "province.plot(ax=ax2, alpha = 0.1)\n",
        "# point layer\n",
        "plot_stations_pars.plot(column = 'rl_100',legend = True,vmin = 100, vmax = 600, ax = ax2)\n",
        "# Title \n",
        "ax2.set_title(\"100-year Rainfall Return Levels (mm)\")\n",
        "\n",
        "# setting chart size\n",
        "plt.gcf().set_size_inches(20, 10)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g8WFNOSE_IDu"
      },
      "source": [
        "The left chart shows the amount of rainfall that comes every 5 years. The chart on the right is the amount of rainfall that comes every 100 years.\n",
        "**Regions in the northern and eastern part receive more extreme rainfall levels.**\n",
        "\n",
        "Major caveat for this is that has not been cleaned yet and the date range and data availability are not the same for all stations, which makes some of the estimates inaccurate.\n",
        "\n",
        "------"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1OGHNfJAllc-"
      },
      "source": [
        "# Provincial Level Estimates\n",
        "Now that we have estimated the parameters and the return levels per weather station, it is more useful if the estimates are at a provincial level. For this, we will perform an interpolation procedure of the estimated parameters."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UF0q2Kpi3Jt-"
      },
      "source": [
        "In the plot below, the red points are the provincial centroids while the green points are the locations of the weather stations."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 555
        },
        "id": "MOonBWN50pC8",
        "outputId": "49acd354-c017-425f-df1f-2073b2ff3d35"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
            "\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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EiRP53e9+x/nnn1/QctTv96dy3j/72c9S1xzKMjTJxRdfzE9/+tNUhcnOnTvZt29fwXP6+/szRPbll19OpT2yn7evr4+pU6cSjUZTFqWF7m/WrFns2LEjtUbwi1/8gve9731Dvo53gubGZn68ZB31zvEoDfU9sO5JL81/O9Z3JhxrRqU4ty5qxefKtAw9GtHIQw89xAc+8IGM6PGf/umfePTRRwmHw/zkJz+hu7s7JdQXXXQRd955J2Dlmy+//PKM611++eXcf//9bN++nfe9732pWXzz58/nyiuvZP369TnnJLdnM27cOCZOnMgZZ5yR2rZgwQL27duXMt7PZzl666230tTUxFlnncWECRNS51966aU89NBDGQuCdixevJh//ud/ZsGCBTQ2NnLVVVcNKepaa+68805mzZrF3LlzWblyZSpqXrp0KXfddRfz5s1j+/bt3HbbbZxzzjmcf/75qdmIdscl8Xg83HvvvTQ1NdHY2IhhGHz2s58teD/vJM1/gx23BzFXwY410PxMN7S0jPjcS+HEYtRahrZtaWP5xuV0+Duoq6qjdVErzY3iUicMn6NuGdrQAO3tudvr6+EdzoEL7ywlaRna3NgsYiycGKSNT2trhOWLoKMK6vzttG5pk9/jEmVUpjUE4YQiMQ2mrRFaLoX2saCV9VUaUkoXEWdBONYkxqotXwQBd+YuaUgpXU6otIbYKQrvNO/ImkxiYk/H1n+x3S0NKaXJCRM5ezweuru735k/FkGAVB25x+M5+k/W3Ezd2HrbXdKQUpqcMJFzTU0NXV1d7N+//1jfilBCeDweampqjupzRKJxAtE4Ny+4lf+z8fMZ3a3SkFK6nDDi7HK5mDFjxrG+DUEYcZwOgzKtufikqxjjc0kJqACcQHXOgjDaiZsahyFrKqVEoTrnEybnLAijHRFmIR0RZ0EQhOOQIcVZKVWrlHpaKfW6Uuo1pdSNie3VSqknlVJbE1/H5Tn/msQxW5VS14z0CxAEQRiNFBM5x4Ava61PB84FPq+UOh24BdiotX4XsDHxOAOlVDWwEjgHeA+wMp+IC4IgCIMMKc5a691a678mvu8D3gCmA/8EJP0kfwZcZnP6xcCTWuuDWutDwJPAh0bixgVBEEYzw8o5K6UagHnA/wCTtda7E7v2AJNtTpkOdKY97kpsEwRBEApQtDgrpSqA3wJf1Fr3pu/TVj3eEdXkKaValFKblVKbpdFEEIRSpyhxVkq5sIS5TWv9YGLzXqXU1MT+qYDdqIudQG3a45rEthy01uu01vO11vMnTpxY7P0LgiCMSoqp1lDAPcAbWut/T9v1CJCsvrgG+J3N6X8CFiulxiUWAhcntgmCIAgFKCZyPh/4OPABpdTLiX8fBr4FXKSU2gp8MPEYpdR8pdRPALTWB4HbgBcT/1YntgmCIAgFkPZtQRCEY4S0bwuCIJxgiDgLgiAch4g4C4IgHIeIOAuCIByHiDgLwnFGNG7KODZBxFkQjif+cWCAN/f00RuMHetbEY4xIs6CcBwxocKNy2FQ5pI/zVLnhJkhKAgnOsWMoar0uJg1xfUO3ZFwPCNvz4IgCMchIs6CcJQIReOs2fRTpn+7DmOVQcN3G2jb0nasb0s4QZC0hiAcJTa8vp6vPn0DoVgQgK7eDloebQGgubH5WN6acAIgkbMgHCW+8fTXU8KcJBANsHzj8mN0R8KJhIizIBwlOvwdw9ouCOmIOAvCUaKuqm5Y2wUhHRFnQRhB+sODzSOti1rxuXwZ+30uH62LWt/p2xJOQEScBWGEiMVN9vgHc8zNjc2su3Qd9VX1KBT1VfWsu3SdLAYKRSHVGoIwQsRMTTBiYpoaI9Fs0tzYLGIsHBYSOQvCCOFxORhX7iIupkXCCCDiLAgjyPSxXlyOw/uzCsfidB4M0BuKjvBdCSciIs6CMIJYw+oPjwP9EXoCUToPBghG4iN4V8KJiIizIBwltNb0h2PE4uaQx5qmJhy1BHlalRev23G0b084zpEFQUEYQUxTc3AgTH84niqr87gMasb58LjyC+5AJEbM1NRP8DHGI650goizIIwohqEYX1FGeZnJNEPhcqiiUh1KKSo9ThFmIYWIsyCMMEqpYaclKsqcVJTJn6MwiOScBUEQjkNEnAVBEI5DRJwFoUiKqboQhJFCklyCUATJ5pCZkyooc1r55FjcJBiNE4jEicRMKj1Oxvrcx/hOhdGCiLMgFEEkbmKa0HkwSMN4H/5glN3+EOmd2j2BKD2BKLXVviEHuQ4HfyBKeZkD52F2HgonJiLOgpCF1ppd/hBuh4HbYRCKxVMde8FInDd296EUaA3pGmxq6AvFeHt/P7XVheuah8OhQIRyt7eo6d3C6EHEWRCy+MeBAQbChdunk6XLca1RWA80GkMpQlGTbfv6GeNxUV3hPuISuWlVHv6+tw+Ad00eTKsIoxv5nCQIWRQT8ZpaozUpYQbr+6Roaw3+YJR/7B9g+/5+QonW7LYtbTSsabCmca8pbhp3MGqitXXNUEQWJUsFiZwFIYtxPjfd/ZGCx1jCnItpkkp5JAmE42zb189zOx/i/zz1eQLRAADt/vaipnEHo4NR/M6eIIYBldJJOOqRyFkQsnA5imi3LrDPEmadiKJ1atttz65ICXOSoaZx94WiGRaicVPTcTCAaYpn9GhHxFkQsoglhK/qoQ3MOreR2XXjmHVuI1UPbQCSi4BDCbiyomtFSqT3DHTZHplvGndfKEp7d4BwNDOVYZpW9YgwupG0hiBg5YKXb1xOh7+DaZU1fMVczA0rfoURtGYCund2UnPzMgB6r2gq+rpaD4r4lPIadg905hwzpaKGju4AY7xOysucxOKa3lCU/X1h8g1VkWErox+JnIWSp21LGy2PttDub0ej2dnXyVd7fsr6mcGM44xgkCl3rD6s5zAMxbL5K/A4vBnbPQ4vy85agT8YpfNgkL/v7mPbvn729eYXZl+ZQ/yeSwARZ6HkWb5xeW4u2KVZvij3WNeuLrTNamC+FEgSreGSmU2svGAtU8trUSimG9X88EkvN3+gxfYcOxyGYlqVd8jjhBMfSWsIJU++nG9HVe626LQakgV0ycC26qEN1Ny8zDYF4r/cSoEkj79kZhOXzGwq6pxsvG4HU6o8EjWXCBI5CyVPXVWd7fba3szw2PR62XPzCiAz5zvljtUpkU2SnQIxycxRFHNOOh6XQcN4n3g+lxAizkLJ07qoFZ/Ll7HN4/Dy5WnXEZlei1aKyPRauu5Yi//yJrI7qF277KswMrbrAvuK2F7lc4m3Rokhb8NCyZNsAPnKE19ld38XU8prWDZ/Be+f2cSbS3OPz16ni06rwb0ztwojOq3GKqUDTK2KPscOmcZdeshbsVDyJMvo0oX5kpn5y+V0VhnFnptXYHozF+msFMg30NoyRMom/zkrbJ8zKnXNJYdEzkJJkyyjS1Zr7B7oZNXz1sJcpkAnO/4UaAVKp2qYkwt4U+5YjWtXF9FpNey55Rv4L8sv8Lbn3Lwi72Kg2yGLgKWGyo4Cjgfmz5+vN2/efKxvQygBGtY00O5vz9k+tbyWPy3dAgmnORNy8hnZHhrZqDQBP1LKyxycNLFiRK4lHD8opV7SWs+32yeRs1DS5CujS7ZaG0rZpiWGQudkpo+M8eVlI3o94fhHcs5CSZOvjG5KRQ2Gsvya82FqjUajVO4xDpVIf4wASlldgUJpIeIslDSti1rxOnPL6JadtQIzy685G5X4z84EydQkhPvI79HrduCSMrqSQ/6PCyVNc2MzP7jkR0ytsFqqp1bUsvKCtQWrNYpFoTC1BpvIGuDxbRu4+P5G5twzjovvb+Txbfbt29mudEJpIDlnoaQJReO8v/YK/vSxSwH7RbyqhzYUrKrQ2iQ9ztEMjq5S2K8aPr5tA6ueX0YobnUJ5q8SsTycB8IxyqU7sKSQyFkoafzBKP5g0szeXphrbl6Ge2cnSuuUB0a6SZFSBkolUhiJr8l/hmElPbLTG2s3r04Jc5JQPMjazfbt2zEx1y85hhRnpdRPlVL7lFKvpm37tVLq5cS/HUqpl/Ocu0MptSVxnNTGCccdPYHBKSN2+eFiPDAUlm+z1ljldonvtbaM8bVN5jqf8X6+7SNc/CGcABQTOd8HfCh9g9b6Y1rruVrrucBvgQcLnP/+xLG2tXyCcCxJ77yzW/wrxgMjM6i1XwE09WBErdFMKbdv0x7crjESkbehwJ82qkooDYYUZ631s8BBu31KKQV8FFg/wvclCO8IU6s8GAaAznGOg/xeF8ntKnFukvy+zoPRtIK8xvs3nr0icT2rvto0LfHvD8WO8JUKJxpHmnNeCOzVWm/Ns18DTyilXlJKtRS6kFKqRSm1WSm1ef/+/Ud4W4JQHOMryphe5cVQCgOFoTLTG4U8MAwF2oRktFxMftpC8ZFTmrh14VqmVtRYVSLlVpXIh09uwi76jpuacEzMj0qJotq3lVINwGNa69lZ238AbNNafzvPedO11juVUpOAJ4EvJCLxgkj7tvBOs21ff8r5zVCZqYp81RrZ7duzzm20dZqLTK/lzRe2pG3Ridh4eEXQ1RVupo+VKSijiaPSvq2UcgJXAGflO0ZrvTPxdZ9S6iHgPcCQ4iwI7zQTKtx0HgySLIRLx395k60hUXZcU6xHs7ISz8Pm0ECESZVl0pBSIhzJ/+UPAn/XWtv+RiqlypVSlcnvgcXAq3bHCsKxJhQ1E/niMzmj1n4OYDp2LdtD5aeT5x2u15jW0N0fIRY3MU1NTGxERzXFlNKtB/4bmKWU6lJKfTKxaylZC4FKqWlKqd8nHk4GnldKvQL8BXhca/3Hkbt1QRgZYnGT6C9+WWS+GOzqoaE4j+YjLVfe3xfm7QMDvLm3j109ISIxEejRiliGCiVPKBrHmDGjyHyxVd5m5tHE7Pz03ltW0Ht5U6prcCR7SQwDqsvdTJVp3CcsYhkqCAWIxk0qhjPTT1vpCYVCZ0XR/sub6L3iqpTZs9bJ/LJKLQOOFKYJXpe41Y1WZGVBKHnipi4yX5ys5LBE19Qw5sEHmHXu7FRd89iHN1hNgiY2qQ/FSLf6DbfiQzhxEHEWSp5Kj6tgvjgpyoPzALPrmrtSeerpX1lG1YMP5H2ukbAQTcfrtiLn4zE9KRwZIs5CyeMwFANXfZSuO9YSmV6LVorI9Fq67liL//Imq7PP5rxifDdyGVl17jgYYGdPkN3+0IheVzj2SM5ZEACXw8hbz5yvOmOoumZDpY+rUkUlNYayJ80mGIkTjMSZPEbGWI02JHIWBMDnHmphbXh1zSrRZWi51am0lEh+eS6+/TsTw7BSM8LoQsRZEBgqolW52Qil2XtL/jx1/hRw/rTG4aVJrOGv3iHfXIQTDRFnoeSJxU16ApGCx2RXRSil6LmsaTBPDWiHA5UQ06GiXTuKbf/OxmFIxcZoRMRZKHn29YUtK88sjUv6Lycc9EnXQJ1oQvFf3mRFyl4vKh5HQcF0RCEZLaacz45ymcw9KhFxFkqa3lCUQ4FIyms5SbJ0TicbSLQaXNrL+qspNh2hlLYGvuahmPbvbAwD3GKENCqR/6tCydIbitJ+IJDWim054ScbTbLROrEvqwe7YDpC6YRHdLLiI3/s7L+8KW85Xz7G+tw4RZxHJVJKJ5QsufqbnlnON24qN/8cnVZj68sRnVYDGswC18smfzmfPWO9UqUxWpG3XKFk8bhyf/2tWuQCtRs2GpsvHbH3lhX2J4wQFR4n5WUSX41WRJyFkkXr3Jl/Yx76TcFzlI1w26Ujdt65lp7Lmka8XTt1HwqmjfUcnYsLxwXytiuULAP3/pyam5elFvMsb4wbEz4Vhm2nnk41kmSqbu8VV9F7xVUJp7p0rwuNqcFQyva8w2Wsz0WZU6o0RjMizkJJEomZjLltpW2VxbSVX8UIBTNEu+bmZYAVJRtokmuI6S51kN7MMijChjG4I3vu4OGgFEyslHbt0Y6kNYSSxO00cO60r7JwHDqYtzROKWuBL5muSHeps0dBypfD8nS2G3E1HKq8EjWXAiLOQskSm164uSObwZI5dfjRb8JngyEEWicaX7Lxug2mVEmuuRQQcRZKlt5vrMqpsvjlu100fMnAWAkNX4S2xnglso8AACAASURBVMF9Q3XqZZM/haFSU1Ry0anOxGSeWikrNeI0FCdNqJDp2yWC5JyFkqXsmo/TFY6nFv5+vnAcn/tAP8FERrl9LLRcah179bbCnXp2aK0xlP3cQJ1YJBwU78SxafuSKZNkp+LEKjeG+GiUDPIWLIw6BsJRtu3rJz7ENNVIzMR/eRNvvrCF1zoP8dVLywmSaYAUcMPXFjtSnXp20phdjjfoqaESlRr2x415cAOGkZW/1gqlNHGbkDsa1zndicLoRcRZGDX0h2N0HQrwjwMBqrwOorF4wePLnIO//lpr9gzYLxB2VpqJrj2dEwUX48Fsas3Yh+2Pq/zthpR/R+peGOxCfHzbBi6+v5E594zjnJ/OYv1rvxrOj0Q4gRFxFkYFcVOz48AAhwaiaA3hmObtAwFC0fwCnS7OoJhSYZ9TnlJek6iyyI2bizM9Ukz+VnHmSIYiVd3x+LYNrHp+GbsHOtFodvZ10vJoC21b2vK+JmH0IOIsjApC0XjG4lu524GpNc4COVqnw2CMd3DZ5cb5K/A4MhcIPQ4vy+avyMoPD1KcB7Mu6jjDICMyX7t5NaF4pqAHogGWb1ye5xUJowkRZ2FU0heKM6myjFDMLHhc7Tgf1RVuAD588lXcunAtU8trUSimltey8oK1XDKzKa/fRlEezGro45QizR3PIl+apcPfUeglCaMEEWdhVOAPRnMe+4NRDIXtwmDbljYa1jTgvM3BgntP5ffbf4NSig+f3MQTV/+Nv33qEE9c/Tc+8q4mlNJ5x7MWMj1SCqueWauCXs2GkVtypxRMzZNmqauqG/oHIpzwiDgLowKvK7djLhQ1eXv/AG/t7SMYGcw9t21po+XRFtr97Wg0nb0d3PrcjTy21VrESw5kzf46mHMeVFL/5VflejDf+V16kz4cifyxvVfzd+m9oiknYnY6FDMnVXDn4v+L1+nL2Odz+Whd1HrkPzDhuEfpI230PwrMnz9fb968+VjfhnACcWggQtehYN79DeN9VCa8jxtaJ9Ae6845Zmp5LX9auqXg8xiGZbY/WFGhUYZC6aRBvyXGhsK2vnkQa4Ex+ednGFAzzofX5cDlUCil6DwY4L86fsvKZ75Bh7+Duqo6Whe10tzYXPAehRMHpdRLWuv5dvukCUUYFYSHyC0HY3EqcUFbGx3Rbntf5jw53nSSZW/ppvzatGLp9IYTUyeF3OYiiVSH1lBd4abMaTDO584Y1OoPRlEKrpn7ca6Z+/Eh70sYfUhaQxgVOB2FO+f2+sNs29dP9JavUue3P2ZK+dDt2dYnzSI/bdoclnQOHfvwBk4/r5Hp1eVMmD0Lx/rM+uUyp0HNOF/uBYSSQcRZGBWk55QLHePc2UXrRvBlNgLii8Cy+cW0ZyvbemfInaAS1zrDbD/ptVH10APUfOVGHJ2d1ob2dmhpgbbB+mWPTQ5dKC1EnIVRgcNQVFe4mTmpouBx0Wk1NG+BdY9CfY+VYajvge8/X80lM4ud3Vdc5KxQ6IRAGyQ8MwyYftdtqGAg8+BAAJZL/bIwiOSchVHB1CpPKqKt8rpySuuS7Ll5BTU3L6N5S5DmxNqf6fXSdccd5Ml2ZGBFv4WGv2ZPO0lahAIa6qp9OLpyh8EC0CH1y8IgEjkLo4L0VMOESnfadjJSC/YlbWszJl4rlZaiyPJdLlTcpFCorI7E5PMnz3tk629o+LK9JSl1Ur8sDCKRszBqiMZNXA6DYCRuiSLJ8jZLvK3HlkCni3E2Css72dQ6FQ0bxqB1ZyG0dULqOummRo9v28Btm24kUGHlx9MtSZu3+6BV6peFQSRyFkYNSeF0Ogy0Th8hNbzJJWZChLVWiaI5hWkWO/vPqnm28s2K9BTH2s2rCUQzc80BNyy/2AHr1kGz1C8Lg4g4C6OGpMlRd3/Ydr+pc+f3GQakTx8plvweztZyoWmj5Hm9MipMEWYhBxFnYdSQnBJSW+3LcJsbJBnJJlMdySaR3JSFqXNL45IM7eGsEiOmMslXRy1eGYIdIs7CqMPlMIjl6Z3WGqvdWsFQJXH53EaL83DOZZmNJal4ZQj5EHEWRh2xuFmwKUWbGq113pK41HFaJdIdmSJejDez1jon8r5kZhP/ftH3qa+qR6Gor6pn3aXrxCtDsEWqNYRRh9NhUF3uprs/YrM303AIrDRFcshrdFoNe25ekarmyDYGe3zbBj7yJYPOijh1fmjdSKpeOtOzWWEonfE8vjIHnzn7Gj53zrUj8jqF0Y2IszDqiMZNxvpcHApEcoyH0muOYTB/nExTJPPHQEKgB3PUybFRocrcUrihpnN7XAb11T6Zni0UjaQ1hFFHPG7SH47ZOsLpLDu6YvLHyQYX27FRWdO5M54rfWxWmROnQ/7chOKR3xZh1PGrV9cz90enMOeecVx8fyOPb0src9PDzx8nCy+Gns6dSXrBRuYwWUEYGvmNEUYVbVva+MIfPpuaWL17oJPV/+/z/LX5JGbXjePUc8/MqEkuagZggnylcPmtRq0FxUqPk3E+d55jBMEeEWdhVLF843ICscwuvCARVr77oG1NcqHZfkmSwbZdKVxyOrcdCjh5YgW1kmsWDgMRZ2FUkW8ydUfV4PdWTnkVUKQRUuLrJTObWHmB/XRuWxR43Y6MCSeCUCwyQ1AYVTSsaaDd356zvb4HdqwZfKyV4tWOQxnHPL5tA2s3r2LPwE6mVEznxvkruWRmEwqNmacmOrMRML122vq7aphQTqXHdQSvSBjNFJohKJGzMKpoXdSKz5U1sTpi1SOnE51Wk9FckiyT2z3QZeWq+7u49bllPLZ1Q8JAKT2I0RiJ5hSdMkmC7NZwUOzrDY34axRKAxFnYVTR3NjMukvXpbrwah3j+dEfXalGERjMKad3AK59aVVOmVwoHmTt5tUkPTmUIiHKKuFclxlNa21Jc3o0HYyavLW3r6gxWoKQzpDirJT6qVJqn1Lq1bRttyqldiqlXk78+3Cecz+klHpTKbVNKXXLSN64IOSjubGZHV/cgbnSZPtX9/Hea7+fN6ecnGyyp3+n7bX29HemFg+TNqSW9tqnA1XKnnQwvRGOmnQP2DvlCUI+iukQvA/4D+DnWdu/o7W+O99JSikH8J/ARUAX8KJS6hGt9euHea+CMGxcDoNg08d4M4+5fnLJZUp5DbsHcsdH1fmh5s70jsFU4qKIZx8cWRWK2nTECEIBhoyctdbPAgcP49rvAbZprd/WWkeA+4F/OozrCMIR4S0wyVprK1Vh6xiXyFVndgzqVCNLQU9nrTHSPDzCsThmHqe8dGJxk0AkNrwXKIxKjiTnfINS6m+JtMc4m/3TgfRQpCuxTRDeUYwhfss1g2VydWkTudc9OmhqlOwYVEqhlCrK09lMS32YJuzsycxpp9MTiLDjwABv7u3j7f0DbNvXRzQu0XYpc7ji/APgZGAusBv49pHeiFKqRSm1WSm1ef/+/Ud6OUFIMVSdsWXtqblkZhNbN9RirrLK7tIXEQc7Bq0KjaI8ObKepycQJRS1Xxg8FIjSF4qlxmE5DYP+kETQpcxhibPWeq/WOq61NoEfY6UwstkJ1KY9rklsy3fNdVrr+Vrr+RMnTjyc2xIEW6KxoaayqpSQ5usY3HvLN0AN1jEX5elss/9QINfGVGudGrGVuue4SVVimotpasJ5RF0YvRyWOCulpqY9vBx41eawF4F3KaVmKKXcwFLgkcN5PkE4EtJL2x7ftoGL72/MMEVSCkyskrp8HYM9l30U0krnhuPJkU7ApqROKUVttQ+v28qNl7kMplZ5Um54MdPMEW9h9FNMKd164L+BWUqpLqXUJ4E7lVJblFJ/A94P/Fvi2GlKqd8DaK1jwA3An4A3gN9orV87Sq9DEPJSXW6ZDj2+bQOr/rwswxRp1fNWo0lqWrbS9F7RxJsvbOHVjkNs/Z8tto5zxXhy2IXOG167n7rv1GOsMmhY00Dblrac+4zFNW6HwS5/iEgsjoGyhsYWsaAojB6kfVsY9cRNzT8O9PPen59hWy43tbyWPy21Esxup2L6OB97/EGCETPRBWgftWZOUJnO3ltW4r+8yarQ0MmC6MFzU2b9ac0uPpcvNaoqFjfZvn+ASMzE7TQ4ZXIFcVPz9oEBwlGTkyeV43E6xERpFCHt20JJ4zAU48vL8vox7xnoTJXEnXT2bCoe+DUzJlQwsbKMcT43Y7xOylwG7jRP5se3beDcyGo8n+5i+l01fKdtBT2XNQ0a7KvcwNnWrD8aYPnG5YA1XmtiZRkAkZhJ3NQ4HQanTK5k+jgvHQcDHJBmlpJBxlQJJcG4cje1VbW2rnW1foV7pxVRu7o6oaUFBzClOXPwaiASY1dPkN++cT+r/98NBLEW93b3d7LqmRvwvvg/fHbNE6lZhHtvsQQ7Sb43h/R7qihzpkZpReJmanpKdbmbcT4XfWGrgsM0NYcCESo9row3DWH0IP9XhZLh9kW355oiRRW3P5UV4wYCsHx5zvk+t5OZkyq58/99KSXMSYJE+PbOe1J1zxuqO7ng7Rbm3DM2tfCYz5S/rqou9f2uniBag8up8Dgzm2eUUozxuAjH4nQcDDAQjotnxyhGxFkoGbJNkaZV1LLuEZ1Rz5yiw94Xum1LGwfNftt9nQnP6LZGa/BrR5VVQZ1ceFxYuzi3C9Hlo3VR6+DjMgdet4MZE8rz5pbLnA4aJpRTN95HlU/sSEcrsiAolDRmfT2GnRDX18OOHRmb2ra0cc1D1xDX9tFq0jO64YvWZO5sppbXsmz+Cv7zr6vZ2ddFXVUdrYtaaW5szj1YKAkKLQhKzlkoadTtt2N++tMZ3X6m14vR2ppxXNuWNloebckrzGj48JvWt+lTV9LZM9DFJTOb+OgZSzlpYsVI3L4wipG0hlDShD+61LbpJPyxpRnHLd+4nEA0kOcqgILHZ1nf1vntD5lSYeWcY1KvLBSBRM5CSeNyGPRe0ZTTaDI1c/5U3tmE6XSOhVhNLa0bO2lZogi4BkXY4/ByY2IQbDhqEorG8RRwyzsaxOMm/ZE4VV7JU58ISOQslDQOQ/GuyRVMqHRT4XHicRlMqfLgcmT+aaRXVOSjtqqOgTe30/w3zQ+bfs7UisxBsB8+uYlk9XN/eGhTo3wmSYdLXINDWSItHP9I5CyUPGVOB1OrvJimxjAUgUgMrXXK2wKs2YSffuTTBGP2tp8+l4/bF92Ow2Gd8y9nNnPWxEsxDKv87eBAJOEdbY246gvFGF/uzniObNyOkYmdwrE4ZU4HbqeRGrMlHP9I5CwICZKlaz63M0fAFm8K84MnvCm/57GUM7as2ppTOKYu1YLdH4oRjZuEfvYLZr6nkVnTxjJ1zqlMfuy3ACmP5/5QjF3+wsNfi23T1loTjsVJr7xKf1yWVi/tMJS0f58gSOQsCAWIxk0O/vg+Jn7pBq4JBrnmWWu76TXpuuNb9H68CbBSIwBetwPX/etxXP/ZwQqQjg7G/9sNBCMm/subUn4dB/sjjPW6KC9zEojE8LmH/+fY3R9mX1845bw3ubIMj8vJLn8Qt8PAYSimjR2srZao+cRBImdBsKE/HOPt/f1s29fPuG/emsdY/zZIDHRt7w4QN7W12LZ8eUEj/nQjpUjMyv/2BKLWhrY2aGiwxrc0NFiP87CzJ8huf4hYXBONWf+6DoXYvr+fcNSkJxDl4ECE7fv72d8nnhwnGiLOgpBFJGbS3R9mIBwjFtcFjfWTMhuOWucAebsLB0ddDaYf9ifOmTbWC21t6JYWaG+3zDXa26GlJUOgkyIbjsXpC0Wx6yEb8+AGZr5nNrPrxnHKOY247r+fPf4Q6178GQ1rGmztSoXjDxFnQcjCEr5YIgWgbQ302xqh4UsGjT8ZNO0PROLs6w0Rm17YiD9dT8cnPJwBWL4cFQhY1/4iGCuhoSVA209uBCxhTs4VPDgQsZ3wkm+24dP3f5kbn/gc7f52NJp2fzstj7aIQB/HiDgLQhbJmYPJ6oq9t2Qa67c1QssS6KiMZ5j2//q19eztDbPrK/lGXa2wVhPT0hr94djgQl5HR8qXo32sdVj7WGg5r5t1L/6MPf4QwWicaNxMm4uoLRe7hOTnm2347T33EYrltytNcjzaOZQqIs6CkIXX5Ug1apgaei67ip13riUyvQatFF9b7CCQ1ccRigf57ourAPKMuvoubY2ai9efmTEiqzcY4x8HBojFTairY/kiCLgzrx1wQ+vzK1AKgpE4O7oH6A1G0Vjlfklff6XyzzbsrLCvmc5uronGNb3B6PB/aAUIx8Q573AQcRaEBMmoUSmV5ZGs6Lmsibf+51W2dByks9K+iWPPwM5U1YT/8sxRV+vPhFXP3ZgzIuvxbRsYCMd5a28/wVtX5/Xl6Ozt5NQplVR6nIkOQxMj4fucvEet888wrO2370asHTM4gzluavpCUQ4FIqn0yZHSE4jQeTDIvr7CZYNCLiLOgpAgvczMTpysCFXl9WWeUl5DeqGa1fBhRd/fffG2nCkooXiQtZutCo64qdl+0T9R4xxve+1pFTU4HQZ11T7GV7jRGtvxWflmG355yrW2dqXf/MDt1jGmJhiNs6c3RCASp7s/ctgpjnjcTHUh7vaHCEbi7OsNi/f0MBFxFgQbHAUaNW5hMb6sT/6+qLXd1JYgK6Ux9WBkm39E1uB2reH6C76F15krord/8HZ29gTpD8cwbGqVk5t6r2hKpGAyUyqLrv42Ky74LlPLB1vK7/jAf/DxOZZdqWEoDvSFMRPvSfv7wvSHY8RNTSxuEovFicZMwtE48TTjpmjcJJLVZu5wGDgS3Y1m4gegNfiDUXqDhy/6pYY0oQiCDbG4JSAel4HX7SCUMCvSGj675gnGV8PyRZY9aJ0fWjdC08EneOvq5EDYTAGdUl5jO1y2Zkwt48vd9EdihKMml8y0DJjWbl7NnoEuplfW0rqolY+f2Uw4ZtLeHUjVRgOM8ToxlNX151Cwvy9Cz2VNGeOxANBw6bs+ykdmNqXuzVeWmeqoH+9jb2+YQCRGLG5VrOztDTN5TBlOQxGNm+ztDTFtrBeHofC4HASjcZxKkZUmH7w/jytVw+0PRnEabkLRON7DaLgpNeQnJIxq+kLRlK/EcEhGzpOrPIzxWKt/sbhJbyiGa1cXzTvJmaCiVRemJisXbLFs/grbydsr3nsbvjIHlV4nPYEoPYEol8xsSol0ktd29VJR5sxJt/SFYrxrcgVlTkeiisNgf184I7pN3Z8GUBiJVEv2MUopnA7FQNiKhLv7rVFcOw4EUArKy5yp0r+uQ0EaxvvwOR1E4vnTFeGYmTWlvIbeb6zC9alrUvMRBXvkpyOMairKnKA1Ow4M4E+rQjCL8FSeUOkmlJYndToMqsvdBeuYVWJhzipx04l0g+bqxqv5zw//KDUiq76qnnWXruNTZ/0rY31uKj0uaqt9TKny2Fp66oRZUrboa20JZdzUuBLTuydU5otjE689kXqpHefN2VfldWHX4a215QeysyfE2/sHElUjAWKmiaNAS3j5A7/Oqbuu/rfP03/vzwveoyBjqoQS4a29fURiJl63g/HlboKJPOnUqlyBAqvKIBIzmTTGk7Nvzw9+yqQv35AzPaXrjrU5vtAAXrfBzEmVw7rfrkMB/MFoKgc8FNPGehhfUQZYeeBAJE4oai3E2eF0KE6bOmZwQ1ubNdS2o4Po9Bp2f2WF7WvJRinrDXBcuZuKMmdOrj5aW2dNNM8iVlOLs3Noj+zRjoypEkqemnFedvUECYTjBCNBZkzw4XLkN7sf63Pn9Vw2r76aPrdB5aqVqK5OotNq2HNzfjGbkBDN4d2vj0mVJnFT035wwLYbMJ30vS6HQZXXoMLtwGEo9vhDORG3qTUD4RjlZU5LmFtarKnjgKvL6ioEhhToZETfF4rhcRmcNKF8cDHQ1Dh32i+EOvJsFwaRyFkoGUxT0xeOsccfon6877AmkezrCxGKmNSN9wGWK9yunsI1vBMq3Xkj9GLoC0Vp7w7Y+miAtWg5bazXElobonGTrXv7bfPQY30ups45FadNdBuZXsubLwwm1sdXuInELNPTUKJqQ2trYXGs10Vca8rdztR97OoJMmH2LNw7c6+t6+pQ7e1FvPrRjUTOgoBVLlbldVFZ5uRgwFrscjuMov2NI7E4lWUuqn1prnJDNGs4HYr+UIx4pS5YnleISo+L8RVuDvRFbPeb2upqzHsPhsLndtAXyv0k0BOIUpMnik3vNqz0ODOsR8ES/f5QjDFeV8Zr01qzyx/i0ECEB764mG/v+imdY3SqquXqbV4CK1cjI24LI+IslByGoVKpht5QlHDUZGLl0KkHU0P3QBitobbal9rmMBQVZU6cDoU/GCUWt4S4ptpLZZkzdcyRMLnSw6GBqG30G4mZBKJxa/HThmA0bivMSaLTamyj2/Ruw3G+3EVGl8NgXHnu9kjc5NBAhMe2bmBV6FeEqqx7bh8LLUsUkSn/yr9c8/G89yNYSLWGUNKM8biKEmYAj8tBzThfSpgBpo/1cvq0MdSN9zFtrJdTp1QysbKMkyaWM8bjQil1xMIM1hvK1CoPEyrd+MocORUVHVn1z+n43E5qq722VRiQv6twz80rUo81uujmkTKng+ljvXzvpdU5XZEBl+bW2B9yZjQKuchPSBCOAH8wij8wWKKnlGJKleew8tk9Aat7zjRN2wh5XLmbKWM8nDShnImVZRliGzc1XYcCeVukx/rcNEwoz2k8gXxGTZmVJ6GoSTiP+NsxrtzN7v48Jkz+3ChdyEXSGkJJ090fpi8Uw1fmoNxtdds5jGzjo0FMU9MfiaFNTZXPzRiPk2hc07aljeUbl9Ph76Cuqo7WRa00NzYXfR9aa/b3JUZOJbZNqCjDMBRliXvxuBwp/4/JYzxUepxs3zeQukYgEqcnGMFhlNnef0WZk/IJ5RwKROkNRhN2pdY+/+VNBSszDvSH6QtFmTmpouhRV3VVdbT7cxf9iplkLkjkLJQwO3uC7OoJWW3K/jBv7x9g275+3tzTx1t7rX+dBwP0haJ094dp7x7g73v7aD8QoDc0OKF7wxvraXm05YiM7Pf3hwlFTTy/+TX1Z53BzKlVVJw6k+jPf4mhlG0k7nM7GeMdjK+0tkz4NfnTD0opqsutKPpdkysYX1G4YSV1Hlb0vH1/P4cG7Bcms2ld1IrP5cvY5nP5aF3UWtT5pY6Is1Cy9CcWySyfiMw/hXDUTM3h23EgwK6eEL3BGKY5OPPvHwcGME3N1zZ+jUA0kHG+nZH9UPeSPcXE1WV108V+8Yu859VV+zJSFabJkKV9ScqcDqaN9TJrSmXO688m2ZYejJjs7AkW5dHc3NjMukvX5XRFDucTRSkjdc5CyTIQjrE7UfMM8PfdfUOeo7J8M5wOxRnrxtpGqwqFubK4PO3OniAT89QED9VNFzc1b+zuzbivWVMqh+Unsq83xN483YRJklPDAaor3EyocNMXih1Wk41gUajOWSJnoWQpL3Myc1IFLoeB0xi6qsISp8xtsbjO6+88nNyqIv8Uk6G66RyGlapIJxq3XPSKpSwtbVLldVHpcWIY1puRoTKFGazFyzKnA4/LwR5/KG83pXD4iDgLAlYu1uvOX2FhlZLZ71s2f0WOkb3H6WXVhd8s+vmnVnnyGiqpuqFFPjtKjpka9zDK1aq8rtTrj5omTofCNK1PCaaGMQ8+wKxzG5ldN45Z5zZS+dsNvL2/H5fDWjzdeSiIP2DvhiccHiLOgpBgYmUZLqd99KwgYXKfKz6XzGxi5QVrM4zsV56/lgumX1b0cyulML/ZiunNXEDD54PWoRfQkv7TScLReNGdj0lqxnnxug0C4TiHBgbLA/NN9Hbefz+dB4MEwjGqvC729UXoPBhgx4EBdvuDRTn/CfmRnLMgpOEPRBmIxFJexnZYfsiabEN9O9xOgyljPFT5cm1A04nHTcswqK0N86tfQ3V1Ep9eg/Nb/xeah15AGwjH2NE9gGlaqYjxFYfn5xGLm7yV5cMx69zGjFx4W+PgoIGaqjq+fsFqljb+Mz6Xg4FwnN5QlCqvVWIYiMRTjnVCLoVyziLOgmBDKBqn61Cw4Ny77MXBfIyvcOf4UgxF3NSJXG/x0e+hgQh7+0LUjPPliKFp6qIi6bip2bqvL8MFb3bdOFTihbY1QsulmRPCfS5fThWG1hp/MEokZtIfjjFjQvmwXkupIAuCgjBMrFbtwoKqE+VldqmOdELROHt7Q8OaQO0w1LDFbFy5m1OnjLGNUk2tiZuaYCTGzkOBjK7GdPzBaI49abrHxvJFmcIMVtngLU9+LWObUoqxPjeTxng4aWLxjSvCICLOgpAHj8sxZJNG8tO/YUA+kR4IW6b3e/3hYVVQjCROh4HDUBwKRDkUiNJ5KEBvKFegTZuPAuneGx1V9tff2dfJm3t6OdBfuBxPKB4RZ0EowKS0RcKqhzZkVCxUPbQhcZRV2VD10APMOne2zX5LvGdMLD8sz42RxOmwxmhpDV0HcxftkiOnlLKOhUzvjVq//XWnlNcQiWl294TY2xtCa01PIMJbe/s4WGRHoZCJiLMgFMDpMBhfXpa3YiEpwIP7u2z3j/UdH4ti1T43Y30uXE6FqTWdhzI7G6u8lnf0KZMrOXVKJWN91kzBviuaeOt/tnD9ZT/OLRt0eFk2f9DBbl9vmPbuAN0DEeKmLmLZVLBDFgQFYQhC0TjGjBm23XvJaSHZFQ3Z+ys9ThomlA/rea2pI5oy59GJtvf4Q+zvCzNzUkXeGm+tNV2HgvSk5agf37aBtZtXs2egiynlNdzCYq7/7hM4dnYRm15Dz/Jb2fORK4HM2YZCLjIJRRCOgDKnAXm695Jdffm6+5Lb7XK5nQcDTKwsy5vqCERi9AZjqZFYI82kyjJC0Th7ekPMyPPGoZSiZpyX8RVu2rsDxOKaK0/7GB95VxNaD35iSA67dXV1MuHLXyAYTac10QAAIABJREFUNem9ogmfWyTmcJG0hiAMgVIqb/despIhvaLBbr/dfL/JYwr7Pld5XdRWH/7swaEwDEX9eB9lToPXdvnZurfP1tBIKYXP7eSkieWMr7AqMDwua3jslDtWZ0whB1CBgLVdqYIOeUJhRJwFYQiisTh7h5gWMtQ0EbspJUMZEymliqqjPhKUUkwb6015cxQy1E+62I3xOJk+1kvDeF/BTwxxU+ct2ROGRsRZEIbA5XQQXXp1wWkhQ00TOZwqjc6DAUJFWHOOBFOrvMycVIEuwkQv6UPiK3NCba3tMclPDBI3Hz6yICgIRdDRHcAfLC4KzHZwA5hS5Sl6VmGSYrv6RpK4aZXAFb2I19aG+elPZ6Q2TK839cZUV+0bsnW9lJEOQUE4Qqq8LiaNKVZccwV1b29o2B/x32lhhsHORLs3IttArrmZvu99P+8nhrIhTPyF/MhPThCKoMrnYvIYD1Xew4sCtYY9vcW3b6eTNCFq+1sb9WvqMVYZNKxpGNYYrOFQXe7Ga5OGCcfith2A3mv+lbf+ZwuvdhzizRe2ZMwiNGzatrv7QgQjh+f/nJy1WAoMWeeilPop8BFgn9Z6dmLbXcClQATYDnxCa91jc+4OoA+IA7F84bsgnCjUVnsJ74sTihY/iTpJJGYOK1VhmpZ5UPdAhD/vepjrf/+Z1Dis5JxC4KiMfbJbrAxGTPb4Q0TjJpMqPanhBG6nQW21j52HghludlOqPLbXcTocmKY1ZdwwhhcfHhqIEIzED+vcE41iXt19wIeytj0JzNZanwm8BXy1wPnv11rPFWEWRgNKKSaN8RQ8Jt86TqXHWfQCWW8oyht7euk6FMTndrDyma8f8ZzCoegJRAp6MCdnFR7oi9Bl01mYXY/tcmS+CSWvHYjGcDoMNIpY3HqTa9vSRsOaBttPBcnztNbETE2Fx0E4pom+Q4ulx4ohI2et9bNKqYasbU+kPXwBuGpkb0sQjl+GnvaRGxk7DMX0cd4hR2ElCUdNErNkicU1Hf522+M6/PlnCw6XQMSySa0udzN5jCfnXsucDsb6XBwaiBKIxHM+BVSUOZlS5UmlPpxZ5+/oHmCs14XDUBwcCFPmcqBQ/H77Bloea8n9VKCh+cxm9vaFGAjHKXMaxE0Th1J090eIa8348rJhL7SeKIzE54LrgD/k2aeBJ5RSLymlWkbguQThmBON509pKJUr3GN9Lk6ZbM0qLJb0adgTH32AOr+9qNdV1VkR5TBnBtrhchhobUXtwWicrkOBnNmA06q8uJyKWFzbLhpOrCzjtKljOG3qGLxZ3YEVZU529oTY6w9zoD/KHn+YfX1hvvLkV20/FXzt3n8hWltH9OdtBCNxegJR+sNxeoIxQlGTaEyzxx+ivXtgVE5dOSJxVkotB2JAvpWJC7TW7wb+P+DzSqn3FrhWi1Jqs1Jq8/79+4/ktgThqDKpsow//eMBLr6/kTn3jOPi+xt5fNuGvMeP9blwDkOYIbM+2LPyG7Q+pfFlmbv5Yopb33cbb+3t543dfWzd28+rO/28vb9/WM+VxOVQKAXlbifd/WEODUTZcWCAfX0hfv7KL2lY04DzNgeL11uvty9UeFHPYQxWfcRNnePfETc1kZjJ7n77RpbOKqsdPN1Ayi5j1BuM0XkokDeddKJy2OKslLoWa6GwWef5qWitdya+7gMeAt6T73pa63Va6/la6/kTJ0483NsShKPOr179FSueXcbugU40mt0Dnax6fllCoLNSAS6DSs/wKzz6E8KnFKjOTpq3wLpHob4HlLa+rvud5kMnNWV0H2pt+Uf3BIZv0znG46K8zMlA2PL0SF7vpy/9ks881kK7vx2NprO3g9V/XsZvXl8/5DX9gSjBSJz+cAyN9UaVTd7p5Ql7UiMYZModqws+T28wRvAYeWUfLQ5LnJVSHwK+AizRWgfyHFOulKpMfg8sBl493BsVhOOF5RuXE4xl/tqH4kHWbl5Ndk9cJGbSb2NqX4iO7kDKA9njckBi+nbzFtixBsxV1tfm3nomVpYxuaosp554oMB4rXxEYnEiMZNo1rDY/3juZkKxTP+MYCzId/6yyjaVEgxHU6mfKVUeoqZJRUL0x9iUItpNL/dFoHXj4ON8beLp9Idjoyp6HlKclVLrgf8GZimlupRSnwT+A6gEnlRKvayU+mHi2GlKqd8nTp0MPK+UegX4C/C41vqPR+VVCEIa8QI54SSmOfxSuCT5FuH2DOQKyIwJvpyFscL3pekLR1Mf390Ow5q+7bOfyu0wFJMqPZwyuZJKz2CON7tSoliyPUCqHtrArvhB22N393fZiqHL6UhVYbidBmM81iLglDEey+EvhXVuxvTy5KeCR603oyT5jKWAxKxFq2JkNI3DGlKctdZXa62naq1dWusarfU9WuuZWuvaRIncXK31ZxPH7tJafzjx/dta6zmJf2dorYee7y4IR0jc1Ly5tz9nIQsyy7VOWnsSbVvabF3YhqKuqs52+5TyGrS28rZet0H9BB8xEzzDsM0MRuOotNRIlddlTd9etw7q6y0Vqq+3HmdN5U42yXjdBtW+wuO17Oi3iban3LE6lV7Ipq6qztZr2ukw8LqdOYt0SinKnEaqCsRIm7pyycwm/rR0CzvG/5i3f+TNEOZ0A6lMdGISunWNQwNR+kLRIqppTgxGdxW3UHKYWuNyKPb1htjjD6UiwbYtbbQ8Opg3TZZr/ea1ofOm2bQuasXnyoxkPQ4vN569AtBMHuPh/2fv3eMjOc86399bl75Ud6tb0ugyo9t4PBMT4iEsmMTsAZasAwachEyIHMdy4sCCCAmZhM854NiDb+OMwTknQAaSTSYXCESJkwkYMN49S/DZs8Hn4PNZwwJj2DgexzOSZkbS6Nb3rtv7nj/equ6u7qrultQttaT3+/nMRdXV3dWt7qfeep7f83uODiaQCCuINnGeqyUWVjDRryEakqHIBD1RJ7BPTQGXLgGU8n+n6htPoiEZ4/0abjgQ33gBkjEsZeo779Sr8zjzLOqLkQbw2JvOQJIqWuVa/EybCCHoi6kAWHn+InOCKwhD+sQkrnzcz0DqnVWPwfj+qFiSUgqs5nUspIt4dTmPK+vF2qfedQjjI8GewrQpvrOYLWuEZYngxsEYbvqDG3HZRys8kZzAKydfbVl/7DJzYQYf/ZsHcCUzh0OJUTzxE7+FqeNTWM7piIcVjwsdY2xDl9sl04ZuUeR0CyOpzvk5V0MpQ9G0kSmZWM7ySEwIcNOtx6HOz2HmOJ+8PZvkhbpH/6EPb/6LeWRLJg4luX7bz7PaD92y8Z2FekUJIW4Dj/tesbInNN/qBGPW/L0khKtqmjUM7TSNjI9EcBbsKTJFA5QCc2uVlZOqEHzvZ1O+xu8EBPThzeWf3SaMq+tF9GqhhqOeNhKc1/IGrqVLSDi+ydtlgGRYNi6tFKA7rekHUxEc+ItvANPTQKFSAK12nQP48FpVlvCaoUTLz7WS03EtXWrqV+2+dL9MBQ/m/vcjhOuqD6YiHRvz1Q6EK51gX8AYg0IkJKIqYuHKF9K0GIbjAXKtgPxxK7hB81Aq6mkacaGU8QGnGyxSpTQViYiC4Z7ItgVmy6ZYK5jlwBwLyzgQD3vy3X6ucwBPKegmxVK2dWOn/ni4pfFbFMx3xBfQ2Cs6HlYw2hvt6sDcDBGcBXsGQgiiYdn3EvvkD9bLtaKKhjO3tadO7ReAl7J6XcAKys+6lExuqjScjEDdYL56K2RLVjnnHAvLGO2tCpxOvtswTHzn//O6zlWzlNGR9ynEmpbt+7p7IiqGmtmwMgK/dniAZ5yDsChFXuc5791aIBTBWbBncNMHjDH0aqonzeCRa4HgYGwMj7/p93H3zXd37HhSmsonaFet/JoV6gqGjfWisaFW73bgNnAQAoz3aXVucozxKeBHBmIIuhBgDLiW9p6M0kUTCxkdVkCAHOyJ4IaBGI4MxDCUDKNdRnNFg6/kXfe73YgYjSvYMxBCYNoUhDHIhGAgEcZipoSIIiNvWPjgG+/F5PfeBYvyElM8rHRUF6tIBLpFQRnQquw4GVUhSxuXwW0FxhjyugVZIhjti/qeQNz3SQspuGk4gdnVAgp6vRqjZNrIlsxyV2Qyqjb1wI47VzmxsIJEWMUr13Mtzk4kgXlnQoCRXp6vJ2R3rkF351ELBAHopoXlvIm1ogEJDBN9GvpiKg6lomBgGE6GkYwqGOvVvJfuHUCRJRwbjJeVIIwx6E1ajPOGte0mPit5A7pFcTAZQU9Aq3n16l+VJaQaBFzDor4DbQGe1mGMYS1v+KYbIqoEpeZMlnzqPG669ThuHu/FTbce9/hsBAka+mIhaI6+fLc2pojgLNgzMMYgSxJyuoXVvAnTZjAsG4osIRlV0RMNwaLAcs4ILDK1m+rAYNoMS02meCTCCpZz+rbmSbMlCzcOxNEbC16xE0I8J41YWEFK44XX6tjHXe0sX5P9nG5hKauDMqAnqpb9Q1xcf+YjB+KIhiTe9ffUeYzedxKhK3MgjCF0xWuE5K6ea/Hz8NhtiOAs2DMQQhBRZWeFSrGY1ZE3KNQqxUMyys19NmNGtFncoKZIBP3x4ABYMm18eyGLxYyOl5eyTYuH7eKw0/TSDFc5ktMtRFQZY30ajgzEcdNwomzEDwB53ULRsOpOMGFFwrDjE21TBrMmF6zIEkybNxGN98UwkAjjv37jPhz55SKkh4HDHwFmjtcbITGGOpkkCSgi7iZEcBbsKQghOOg0blg2Q6ZkIqdbKFa1JrutzY18mbcCY6x8uc0Yw/xaEd9ZzCJTMsuX2kFYjumQYVG8cj2PTIfbkfO6teHL/niNEkaVJdw4EMfhAxpkiYAxYK1g1jX2qLJUDvAhReJSvSoIIVBlHrhDioRnLp7HB35kFZdTXLRxOQVMv5UH6FojpFrFYbZkbtvJrVOIgqBgzxGS+SWxFpJRMikkiXhykz1R7vvQKUVEdbAjhLSk5wX4itQtcBHwk8el5TwICFSFIBUN4UA8tOHW7Ea02tXXDEp5gfXIQAzfvZ73HRBrU4bZ1QJGe6OB7z1j/C/GGE5/60EUai40CiHeqTi56tWt156+lnMGeqIqdrHMWaycBXuPkCLhYDIMVSagjEGRCLSwgnSRG+MQQratuaNVGGMwLYrBnjB6YypCilwO0hLhK+nrWR0vL+V8tcQ7DVdF8LTSUE/Y11dDlgh6IgrkBit1SSJQFBmEkED3v9kk6oyQCEi5cPjPP5PCT/9OH7THlY5OKe80IjgL9iQEpFyYCil82nNPZHtzzRvBTccMJiIY7dXwmqE4XnswgYOpKCgDev/8G7jp1uP4npEU1BuPYO4PPo+rDcx9Gg1M7TT98XBd6qP6NkkisP/ky2ATE7z3+/BhYKZyfCXTxmKmhLHkmO9jHJL76hph3MLh+b45TL8VmE3YYKjMI9yNAVoEZ8GeJKTK6NVCONynlfORXWgjEwghBIosIRZSkHzqPEZ+w6tYGPmNk7C/POMrWQty4NvOABV0EqSUYeXcH4L88jTI7Cz/pVy+zP07nAAtEYJsycLpH/8Yooq3qzOiRPGrP/pE3eMO/fZpSMUiTt2G+lRIm6eUbxfC+EiwJ6GUwXIKS8DGzYe6haJhQz5yGKEr9Ub+xsgY1i58G8l42OOCd/j3Dgc68F36yKWmz6lbNlRJ6ljqxx6fgDznk7KYmOB2qABW8wYsm+IvX/46Tn/rQcxn5jCWHMMH/s2D+JkbK6tmbh9K8L2jvSCMQXrY37RuKwZXnaSR8ZEoCAr2FOUWbsCjte3GwGxT1tSqVLdsJK9e8b1NvTqPtG6DyCZKpo2eiApJapCr9dlOKYPNuDWn7BRODZMiFGn/RbX7eqX5Of8dZivHp4VkXF038HPfcxemjt+NsCLhWkbHas5rLE1AQCmflBK6MofxNFd11LIVg6udQqQ1BHsGxriBO29G6b5gXEsrx1gwbJiHRnxvMw+NwrApiqaNudUiXl7k2uiRHv9cbW0O17Ip5tYKXE4HVj6xJTo07smwKJYyJZBx/0BJxyrHF1FlpLQQdMtGTrfxr9eydYG5DGFYuO8h0GjUfzCA2j6Dq+1EBGfBrqZaq2xThvWC0TH98k5ACLD4UR54qnFHNzHGJ08TwmDYDFfXS/jQDz5Y58AXkaP4tTc8XJYUXs/qeGUpD92kUCSCrG7VDXbdKrU6Y5sxLGZ0LN//MFjNTEQajUJ/9DHPtl5NhW41tiLlI6oI0icmMf/EWUyujuHc08B4VgYBXzGfe+s5TB2vnxzT7Yi0hmDXwhiDTLg+2KYMlDJkShZS0eCPtW7Zm/L4dYNap9MjRcMud+tZNsV6wYR94k4wBgw/8RjUq/MwD41i4b6HkHnHOyszQxhXLAw/cRq/fnUeQz/ai1NvjuIqXcNwbBQnb3kI93zfFF5dzkO3KCybgRAGxgj3wrApwAgUqX0yw1o9tqbyVu9rd7wDhAC9Zx4BmZsDGx1D6fRj0N73Xs/+hHBtdyoawlrBcHxH6p+HMK5zTp+YRPrEJL4PwF+Bn9iODMSaNv50K6IgKNg12JQbB2mOTMu0+arPsCiupkuQCYEkIdDQyKYMBAzSBn0pKeWG77pF29a00QzG+NioV5byAOqnfkiEByR3myslk4oVeV3txJKwKpXN9EEAMJ5auWk4AYlw29CIIndUAz63WsB6wQQADCcjWM0bGE5GfJ3rKGVYzuuQwCd6l3QLSwGpDYnwlXlt23ZIkXBsMLbh3/l2ISahCPYEfMad5fGqIIQgpEgY79OQiqkY9pkZV22JuZkvqSQ5srZtCswAXzVW56S9iyhueVq9afiJ057ADNR7UPDAzIejukb1NmWwKAUhBFpI6XhzzkAiXHadW87pYGDIFE3ffdeLJhbTOhYyOmZXCihadqCXNA1Q4xgWxcXreZSauAF2IyI4C3YFRcPCclaHadOycbtrrE+Z232mBnoRbzawVvtkbDeWTw6YwR0oUONbcbVeaue3nd8X5fsP9YTbMsqpYNR3Lfp5giiO6RHAX59pMeQNy/MeM8awmjfKTTbuTX918Tx+8snjeP0XenH7k8fxzMXz5ftIhATOrdJNileX85t9aTuGCM6CXUGmZCFbsrBeMHF5pfJFu5oudUyZUTJtWJuYAdguFjLVhTACiTjZCJ8gZB7yn5FY2c5zzLURLB5RsLIJi9KSaXssRKWa9yhIMaPIEgYTYc8K2LQYvrucx7V0Ecs5Ha8u53Flreh5nc9cPI/fePaDuJabAwPDtfwcHn3uZDlAN7KAlSWCQ9s0xbydiOAs6GospwOu+rvnfrFNm+JALNSxS9aIKvsa9GzXJbLrnufiXC/47utKyapxFR0AD56M1a+4o6oMRSYbvjq4li4hU6qkI9wmGEoZXlrI4nou2Le6Px6uS08UdBvLWQPX1kvl2X/VnH3hNIqWN21Tsos4+/du2iZgzqBTFGw2jaUbEcFZ0JXolg3LUREUDAtWVZnerb4rEkFYlRHu8CDU2skk1QG7Y1NLZmbQ89pjNdM/3HSOWxCsPHf6xCSufPwsjJHR8pTsKx8/i+zPOd10fl1zBMgbdt2qtxmWTZHX+ZVMyfSmM5ac1FPtiaUaWSIbfs6FvH/aZiHnbvf/PURDMiKqjJWcvuvyzrtTYyLY84RkCbrFZWVF08ZavrJKC0kSvns9h6GeCLSQ3PG0Q22RTJYIcrqFeLhDBbSZGWB6GnKhAADl6R9XCLD+9nfyFTAqhvLuy19/+yTW314zGZtyazt+bqscazTEZW3ZkonhnsiG3kNFltAbC2Etb6AnosC10VgrGLie1aEqpKGtKa8TbOykNhwbxbV8fWfhaM8Y4LwbfhQNG5dX8igYNux0CTcNJ7Z9eO5m2R1HKdh3UMqgShIsmyKiSOhzJogMJMJIOjMBY2Gl7Y0TrWBTVtdg0dai4alTgBOYXaRiEUO/fdpXrcALfEEPRhyzCe8dR3ujONwfK08laRW3QNobVXFsKO4ptPKBucGmR+UjIgSxDWqPT97yUF1jjaZq+K3bHodE+ISZlKZCVSonLEKAwUQYqiwhpEjoj4fwhb//kx1z69soIjgLuhJZliDLEgomBUNF5OvmOfNO44nhDAzd1mOTCFI1l+1tXb3P+ntjVJQX/q83aBBqLRFVQliRIEsEfdrGzPt1i4IxQAsrCCuy575F00ZYkXDQR85YjavhDsLvddxxdBIP/8hZHIqPgYBgIjnBO/++bwrDyQgOpaIY69NwbDCB0d6oM0IrhkRExUA8hBsH4vjr734Dv/bNX9lRt76NsKeaUHar85ggmGvpIkKyhLxuI+3oYSOqBIsyjPVpXN+K5qu1drEtn7HDh7mNZg3GyBheev5CubOvmmZNKITwGX59sRD6YqFNvwbLpr7B3KYM372eg25R9MZCGGmgjjAsiotLOd8VeyvNNMeG4h4XvlbZqltfJ9g3TSgiMO8trq4VYFOGhUypHJh7YyoSERWH+2MA+LTqkCJ1dPXsPrbtyOooZZ2djn3mDODjPeEqL/xeaqMmlFhYxni/hhsOxBylRL3sLadbLXmSNFtlMwas5QMMihxCioSemhb7gUQYIUVqqZlmM7/qkmlvyK2vG9hTwVmwN3BHNsmyhHTR9Pgp9MfCGE5GEA3JiDnFQEWSOnZiNm1afmxXt/uVC1/BkU/65y1r1QubYmoK+qc/A2NkrKy8qF45+r3WRk0oRwbigQ06mZKJV67n8Or1PL59LYtr6SJKpo1szWBZP1P/auQNenJU1wriEQXDyQgm+rWWmmk286sOyRLGAtz6utVOVKg1BF2Hu1ru1VQkB+K4uJQrr5bsqmWTG6Q62XFcW9mfuTCDX35mGgWTF+zcvCUATB2fQkRtz1fq0u1vh3Hb21re3/UzrsUeGa37khsWl8LZjGEhXfKsRJezBpazfOVLCJDSVERUuW5Sdi053ULB0SeHnSuZoBOmaVNEVRlFw3b8TjgRVQYbG/PNubvNNLJEENqE2kKSCB5/8+OYfrryuwO6205UrJwFXYciS1BlCTblOU5VlsqrVqUqElNnSb2d6axTz57yfLmByhgkStvT6l0y7cCVKjdAqn+OoCaUlVOPeLYVDRsvL2Uxv1bEtfVSwxQBT1GYWG7QUOJSncoomRR6g5W2KksYTkZwMBmBIhMMJCqBnzz+OFg0OKWT0tRNyxenjk/h3FvPYSI54S0qdqmdqFg5C7oO06ZgYEgXTQzEVdw0nOB61dU8ljI6hpJhUMoDVQcGdjSkUd6yXZrntUKw8xrXB9c/j5vyGH7itMdWVLvHG3hyur/tZiNMi2E5pweunhljnm7BsCq1VLDrjYXQG6tpVpnix2t99H7IVyqvw3190U0UAqu5++a7uzYY1yKCs6DrUGWuKvjOQg5F08ZwD5CIKDAthrRlIlMyMdgT3pGW3PHkuG/Fv515y2ypPm/NwA2e/ALzMxfP4+wLp7GQn8fwR0bx4R86hztf924wxtBfE/wSEQUL6Y0f01reCAzOtXWBjXqdXM/qXKPspCvI1BTYXe/Gvyxk2zqUt2jYuLSSx7HB+IbkgztF9x+hYF8SVmQcHYwjpEiYWysgW7LKJvSM8e64dripbZQz//4MNNV72d3OvKVu1ac0GJjT7uwfmB997iSu5asNgT6M5648hSMD8bqUz2ZNohrlnK9nvWkPP9vWINJFPv+wNrevyhLiPk6CjfTRzaiuV9Smhvxc9XYaEZwFXUvY6epiDLiaLnpafi1KeRNKExWBH5SyTY+yuuvmu/HZOzqXtwwrMkZ7q3PHzDEt8t//7AunUbK90rOiVcBH/+YB39eY1zcehKIhuT794MDVHd7nafTe5nUTlk1RMm0s53RoqoyxPv/hCFqo/uS7mjdwLV3c1OuIhxXccCCGSyt5vHglg6JRCfTdOC2l+45IIHAgpBJMLJt5/I1VifA8aEDQaARlbNP+CrJEcM/rp3DP6zuXt+yJqACK3LsZ3sBMCD+GeFiBLJFAQ6Br2TnQL88A977Hsz0dYGzfiKD0UcGwsOIzmaRRS/21NF9lSwTI6zbWVAPHhhK++/qt8hnjipJM0cJNw/73a0RElXHkQByUsa5PbYjgLOhaCCF1qzKXa2kdA4kw5Jov2LV0EQfi4V1jbuOHe/ktS6Scy1VkUjZ6qi62BebA00DoV94PKFK5yEYpQ6a4uZWzH/M1nssuQe5vJdNGybQRUWXEwgqiITmws5MxhrVC8InEsCjm1wqBI8kaIUkEUoBRUjexez/Bgj2Hbtmey1VKGXQrOMe4ktfLlp3u9IzlrIGXF3N4eZE3VPjR7SsmN7hRx7C+N6biyEAMfbFQnQrizG0+OXADOPMsQIoFbqLkcGXd//1ohCTxwax+x6gHnDiD0E2KsT4NRwfjGOqJ4GAy6ptXBriHR3XawY/1gonFzMZf025BrJwFXYNECEIKb48uOjlJ0wq+RKaU+wcfiKmYWytCd3KdikygWxQa41robh3uGURet3lKgxEMJcPob1CMc3PdD3zxHswl+Yr5zLPA1AVnh9lZrBcM5HSrPFh1IySj/rriqw0CfVBre1JrrK6pblxpZinq+ovsRFF4uxDBWdAV5HULUVV2rB75cNNWLsHTRROJiIJYWEEuw/OZjAGHD8QQVaRdF5gLhoXlnA4CAlUh6G1gWu/yjpvuwp3fuB/qfH2HIMbHsV4wfeV5zZAlgv6Y/4mhkbXIZtVv7kxIN69c/YiEkPIE8uoZiHuZ3fXJFew5qieJZJ2UxnJOx8WlXNP7hlUJRwe5p3BIkaDIBClNxUS/Bk2V6/LRu4GCYZfzuIf7Yi01tsgSwfX7H67rEGSaBpw5syk9uBbmqhFVrn/+wh/+McZ/4HsDrUkTkc2v+QjhgwSqC5duUKa03vQoW7ICV+rVKTLDosiWNn7lsJPsvk+vYE/BwL9EDHAkVrTO78GS2uHGAAAgAElEQVSP3piKY4PxckU/pYXw2oM9GOvTEFHlzkwo2QYSYQUpjRvZRwIKcbWEFAnk7ruRPftp0LFxMEKAiQmQc+eAqSnEIwoUmfj6JDN38CthjkcJAyHADf0xJCJKXX6ezcwg8sH3I3RlDoSx8pSW5FPn8czF87j9yeMY/ER0S0b2tcG2WXt+0K3VWubVvIHFTPM29G5iT/k5C3YfsysFFBwnN0Xi6oygj2QiokC3KBSZlKd4CLwYFkXIZ6Zi5gtfQvxDv+Lrk5z5uUmwcm2PoS8WwkiACsIeH4c8V58++dKP9eH9P1H0aK41VduUBpwxhotLubJSx105Dzz9pzjw+CN1bd2JiIKDqUhg/jmnW1jKlFAwbLzuUE9XWQs38nMWwVmwYzDGkDdszK0WPBrmaggBDiYjiIWVTRmsCzhBQZUb+P+z8xMPWiO9UfT56McXMyUMpjQQn5gx8RFgNlX/vJs1sqeU4eL1HHST+6yknvpGQxP+sb5o3XQagDfEvLqch25SJCIKDh+IbfhYOsm+MdsX7C50i2IlpwcGZlUhODYU95WQCTaGNN/AJ7lmIRmklCgadtm6s5a5pP/zbtbIXpJI2eSIgDQ14Q9qfFlIl8qSv54d8GLZCiI4C3aMgmEHKjIIAUZ7tY4a6e8nrBH/oGoeGuUDYKveYr+0CHXmNQZZk46p/b6P72cI5V6tu8Ni/aCU4SsvfgW3P3kzXv+FXhybnMPM8fr91KvzSGlqYNFT+8bXynn25GuP8cnmuwQRnAXbimsvWTLthq3EfbFQuUVZsHWWPuofVBfue5BPFnGkaWFVQsKnMeTKehG6SZE+MYn5J86Wp7Sw8XFIn/scHn/bJ30NoR798cdgWjZ0ywZjzON5zeVx/r/fP/6nL+ORb53Etfw8GBhmU8D0W1EXoMn4OMb6NN8TCpuZQd9HfrVcvJTnZoHp6V0ToEXOWbCtXF7JI1uymqoxjg7GA9uGBRtnbrUANvOVOr/n7DsmPZrl0d5onclRybTx8qJX2tgXD+FQMuIJrjMXZnDq2VOYTc9iLDmGM286g8nX3gXdojApgyoRhFQZlLFKysK5f+3klLHfncB8pj4lMrEOXPo9/n8W1UA+d67cnl4Lm5gA8ZtkPjEBXLoU+F5tJ41yzi0JEgkhXwTwFgBLjLGbnW19AL4G4DCASwDuZIyt+dz3XgC/6fz4McbYlzb6AgR7A8OidUY+fhACkE23Mgj8iKgyFk5Mlk3rgeqpKpWgGFZrpHOM1VmCRkOS73TtqeNTdcqMV5fzXCrp/Dpd06ZDqUhZplc0LGRLFnpjobInypWMT0MNgNmkc+Dj47jyv/0m5Le8A/0BChX4FED5g3TnQNdaWk1r/BGAn6rZ9lEAzzLGjgF41vnZgxPAHwbwRgBvAPAwIaR300cr2J3MzIBOTEANKRj5N6+ta1qoJaJIIjS3CffK2N+MqD4w11pnLmRKnrbvsCoFdg1WQynDWt5AruYqyaZ8ws2llTyKhg3Lolh2nO3kqpVz0PCCg4kx3o1y6RKKk+/iMw8DxmixMf+BrhjvzoGutbQUnBlj3wKwWrP5ZwG4q+AvAXi7z11vB/BNxtiqs6r+JuqDvGAvMzMDNj0NaXa2nPdzmxb8CKsShnoiiHahv+5uw7AoLi7l8K9XM3W+GhKpb4GuNdRfzJTqLEEH4uFAb2egcjK4mi42NFoqGhSvXM/hleU8JAIM9kQ8jUN+hk5RRcOv//Aj5Z8n+mPoiSpYKxieTtPya3z8cd4lWX18Ud41GcRKTg901dtutlIQHGKMXXP+vwBgyGefEQDV1xbzzjbBPoE+8ABIwTsQtVoCFVElDCTCODIQw+sO9eA1QwkkdpnkqRuoDU4l08ary3mUTOrb3kxrrk1CioRU1ftu2tS3NtBqHSCv203TV4zxE8hawawbmuA3jPVzbzuHD77xfZ5jHklFwRg3wKp7je++G8an/iNsp2vSGBmD/dnPBuaoAd42vhkfkk7QluUJY4wRQrZ0JUoImQYwDQDju+SyQ9AcEpD3U6/O43sP9Qg1xhaxKcNLC1nYlEGS+HgniaBhpyWq1Bku432aZ+W6lPVfQfoF+upi3nJOR8mk5WCbfOp8XRGyOu8N8IDvV2Pwy2ED/MTh5qYVWcJYr4blfH1wliQC+Z57QN77HsyvF1EwbLxmKF63n/u68rqJgmGDMngmgu8UW1k5LxJCDgKA8++Szz5XAFQnfkadbXUwxs4xxm5hjN0yMDCwhcMSdAsl0w7U12JsbBfYnXc/RdMuB0xKuWdy0WgQmFHvRZGMqnUr4kGf4ERIvQbasilMy8ZipoRvL2SwkNbLKZTkU+cxet9JXx8O72PwmS8boXoUVlJToUqSZ5uroSbOCedATIXsnLSq9wEA3bSxmClidrUAxnizTSMf8e1iK8H5LwHc6/z/XgB/4bPPfwHwk4SQXqcQ+JPONsE+IKdbuPYb9fpaaBrI44/vWnOibsG2aUNfZT9cn4pqDiTqc8i6z6o5HlY8E2b41G2GxayBpUy993azrr7qY7Jp68b9qizVTboZ79c8277y4ldwwydvgPqYjIlPHsZnXvgTWE4xsvK8/PNnWtRRlJDy8WzgcDpGq1K6rwL4cQAHCCHz4AqM3wbwdULIfwBwGcCdzr63AHg/Y+wXGWOrhJDHAPx356FOM8ZqC4uCPUi6aHJ3uROT+HP9eXxi4Y8wF7cxnpdx5si9mGqQ9xO0xkrB2PA0ktrATAh8DYPWi6ZnX1Uhdb4UyaiK+bVCoIm/erVBy3gViTb7psxcmMH009MomLzWMZ+ZxQP/969ClognZ+0Sj6rosymurpfK21YLBkZC9XLB7aRVtca7GWMHGWMqY2yUMfYFxtgKY+w2xtgxxtib3aDLGHuBMfaLVff9ImPsqPPnDzv1QgTdgzvfjTHgmYvncV/pK5hN2GAEuBy3Mb32pU3bSQoqRDcQ0BgY/GzwGauflu0WA6s55KNrBtBwIEKQD0ft9uWcgVeX84GPs1FOPXuqHJhdSlYRn3j210FuOAwmScDhw55Owb5YqNwCzhiwmjM2NeG7nYj2bUFbMW2Kyyv58mXh2RdOe2wkAaBgFnDq2VM+9xZsBKllzxHXq9l/f8tH6VFtRqXIJPBE8FcXv47bv3Ycr/9CL25/8jieuVjJJwf5cCzc9xA/fol3GgJo60DeILOlOWulLOnE5cvlVu6cbqFkUgwnIxjqCaEvHsINA7EdN9sSwVnQNq5ndby0kPUUXRby/pe2m3UrE1QoGDYUn0kltfDxT5X9ak33WY3XRK2srTbX7DJzYQaPPvdhXMvNgYHhWn4Ojz53shyga304jJGxssVnMqrixoE4DvZEcGwojtHe9qUQRhL+K/bxdM2GAh+AWzRsXEsXsZgtwqLAUDzcFb4uIjgLtgylDCXT9p1gMhwL+KIEdIDtdrbTq6YvFkIioqDRAlqqKQD6KSjiH/qA5xI/r3uLgbGACdm+6QO7iLMvVAp+6ROTeOn5C3hxdg0vPX8B6ROTIIQrLNyJNRFVbqvz4H3/9lFEZG+wdyeS1zE7i4gqoWDY6IuGcCgVheLXCr4DdMdRCHY1c2uFwJl/J295qP6Lomo4c1twl9ZuwU/za1Pm263WCWSJ4FAy6u8rAUd1wJorKIizgnSxq+4jS8TTnFJN0NVP7dWSG3cJ4UXEGw7ENjXXsFXufN278fCPnMXB2BgICA7GxvCZ5/oqE8mrGR/HSs6AIhOEq9IYjDFY9s5KNkSPrGBLmDaFbgXrau84Ool4RMb/8fyjmE3PYjw5jjO3ndnw6KJupPay19XGtp4L3jqSRJCMqlgya5owCHN+J95jCVJQVJsBVTefaCH/eYw2ZTgYH8XVXH2T0WjPGA6mIpAJgRaWEVZklEwbikTqZhJ2gkRYxR1HJ3HH0UqzSzJ8HvS/eyepwBmA2xsLYSWn1x3bdhxrI0RwFmwaxhguOSOAgkhEFHzwje/Dr97689t4ZDtD0Ay7TjOYCMO0KdbyrqSN1XUAupiHRhG64tO16XTlGhb1FAOHeiK+jyNLBA//2GP4tb/+AApWJbWhqRp+682P1/l0bGdxLRqSy1cTskRQNOxyV6LbrWiNjKLw8GlE3/VuJJV6D+tuGPAg0hqCTaFbNl65nvcU/2ohhH+5u+GDvpchhGC4J8IbTJzp2UEEKShcMyB39U8IMNYX9fXScPPq0z90L869reJ/MZ4c39RA106ghWQM9YRxdDCOlMZTKNX572//3QXM/tQJXFkvoGBYXdkQJVbOgk3x3ev5wNl/gBuYw1BbUBMIto7rMXFlveibC3epXUG6fhfWT/4sRiy7fCLti4V8B6YC3lVlkP/FTpPUVOR1CynwNI2fdzXAi5+zqwUcSkXRE+kuwy0RnAUbJq9bDQMzAPTHQ+iLhXdcjrSfSGoqFJng6nqx4RVNusZ0HwCg2/jS//gyzjz3EOYycxhLjuHx2x7vysDbChFFxlKG5+Etyso1EffqAoxAknib9lAijERYQV43oYWUrrnSE8FZsCHmVoPbdV0IgXOZ3R0f8v1ELKzgxoE4VgsGDIuiaNooGs3tO5+5eB6P/j8nUbJ4wWw2PYvpp6cBYFcG6JAigTIG06ZOgZavmhnjRVQGBkr553Mho8OiQDLaXeFQ5JwFLZNzBrM242BSBOadRJIIDsTDOJSK4saBOI4NxZGINA48Z184XQ7MLru9k3MwEcal5XxdUw2YV/tt2QyLmRIP3130uRXBWRAIn5ZMQSlFtmTi8mqh4eWyqhCM9UXRH995L9x241pQ7kbCioyDKX/VhUvDTs6ZGeAw96Swxyc6O73aeS74+F9slJ6ICr02MMN1GPEGYcbgmfpCKcOrfoF9G+mudbyga9BNG0tZHbplYyARwfxaoaGNoqrwhoiePTrFpJtWVJ1gODaKa/l6id240sc9KAoFEADy3CzY9DQPbe12FpyZAfulaZCiI81z/S82+VySRCBLxKc+Ul8YBHhwjjpdi9ezOmzKdrSgLVbOgjqKBq9grxdMFA2K2ZXGgVmSgBsOxCBJZNu64wQbI6zIgZ2EQHAn52PfZNyDoorajsJ2QR94oBKYXbb4XH7pHMqAoDr1/FoRsysFFA0bIUXa0ZOyCM4CD0uZEi4u5ZqmL1KaioOpCI4OxnHjQBxhRUY8rHSlXlTA6WlQ8Lrj6CT+9zd/yjOz79xbz+Geb6357s9m229cFTTSDFt4Lj+1EAEBZY314ACg7PBnWaQ1BGUsuzKmPogbBmKIBxjhCLqbXi2ElZzhq9yIqBI+8AafTs7xUzy9UAPpwJxPMj7u+1zY7HPNzGDg/vsxPO83v5A0VbDs9OdcrJwFsGyKomGjUDWPzg9ZIogq0q4tjO13IqqM3lilscRdOfZEFYz38wGvdb/bM2e4B0U1jidF29nEcxUMC9mSj7RzZgaYnoYyVz+/sHoWdaPFcd6wdrQgKILzPsewKF5eyuGV6zlcXi403PdAPARZ3tk8nGBrjKSiuGEghoOpCL5nOIGjg3FM9MfKviB1v9upKeDcOWBigkfziQn+cyfGjG3iuXK65VwNeE8qM5//MA5PFyA9DBz+CDBzvHp+YeU1NiqRrOVNLGVLwTt0GNKNq6BbbrmFvfDCCzt9GPuCpWwJi+n6sfK1KDLB0cF4WydWCASNKBgW1gomZEIw1BP2XRTMrRaQLprojYXQE1GgSBK+8T+fxPu/fg8KVd3nmgGcexq4+0WCF2er8+j+yg0X1x9mwGcaeTsghPw9Y+wWv9tE8nCfwhjDYkbH9WzzwAwA/bGQCMyCbeXV5cq4s/WigYPJaJ0PdESVkS6aWM0ZWMvzesl937zfE5gBoBACTt0GTK56hz80Ds1c/7yYKYExhsEAh75OIb5t+5Qr68WWA7Mik46tHASCIMJV0j/TYphdKWBu1Zt64zljfvXPnM6/wIaaJMrzC10I3NbuYBgDsrq17TJREZz3IesFo8r7tzHxiIKxPk3kmfchO53yDMn1dqXrBROr+YqiKFOyPPMRgeDRaIfkvnrDJ3jz7LXzFZNP8XmItRPKtwMRnPcZlk0xv1Zsul9IkXD4gIYbDgjpnGBnCFoPXEsXsZLT8epyHnndQu3K16+hJiJH8aEfeyLgmRgA5jtf0VV4WDarm1LeaURw3mdcWik01XdKEjDepyHRZf62gu1lJ6+WKGXIG1bAbcDV9RJyJQuM1R/nHUcn62YIPvwjZ/GWY/WrZgBgjECSiO98RVfhMZgIN+yw7ARCrbFPKBo21otGYBOCS0SVcGwosX0HJugKGGPdk7qamQF74AFgbs6neaQe4kwY9x4+q0t3uPv5Pwhw81gviM8OjBCQRv4FW6CRWkOsnPcBlDLMrRWwnG0cmEOKhLE+LXgHwZ7FDcwzF2Zw+PcOQ3pUwsgnxvGlf/zy9uZbneYRMjtbl1oIhHkLgvwPgUR4QCakeas2GJ+v6MvY2OZeyxYRwXkfsJzT64awEgIcSkXQG1Mx1BPG9xxM4DVD8W0dxCnoLmYuzGD66WlcTl8GA8PV3Bze/1fT+NI//gkA3vBhdTpQnzpVZ7RUaR4JICDy0qpA7QbtRvjNV4SmgTz+eCtH3nZEcN7jpIsmFjP1krlYWEF/PIzRXg2DPRGoovNv33Pq2VMomN7AWLKLeOS/PYiVnI7VnI6Xl3L49kLGv2V6A1DKsJzT6+VpASZH6lV/eRwfOtWe1Oz6iXdi/uOfhDU61vluyBYQZfg9DGMsUMu8E9IgQXczm/YPjFez87ie08EYyt7Il1cKODq4uSutdNHEtXQRpsVAKcNAoqr7L8D8yDw0ChAGOAXAsjqZEBAGUMLnAm4FmRCk3z6JzIk7cWQgBi0kjI8EHSJdNFE0/MdKDSe3t9tJ0J1QylAybeR1C2NJ/9zqcGwUts08pvWMoa4hpBWWMiXMrRZgWvyxFjM6Pvl3f4iJ352A9KiEw7+Uw8wPelVCNBrlzSOMwHWTK6csaGN/jGqCNMzl53ECP2PAat5AumBiIV3C7EoB6YKJlVxrTVvtQqyc9zBrVYNYJYmP7UlEFFCGrhsDL9heCoaFyysFT8D9wA88iEf+9qRnlmBEjuLkLQ85qQPvylS3KHK61bIOnqcyvEXpZy6ex6PPnUTJ5s952VrB9NtCoLE+3PO3azAPjWDhvocbqjUANF01uxpmVyrnFhoBlB+bT+UGAIK1vOlp1EoXTRDCJ3kPbVMbt1g572Go8y2IqBJuHIhjrE9DSguhLxZqck/BXufqeqlufNPPHJnEw/9LvT74jqNB+mBgId28ocklb1h1lrRnXzhdDswuBWbgvrfG8C9zq3jp+RebB2bAYwPqRyMNc/kxQKomdVd45uJ53P7kcXzf53vxQ1+4CTMXOjhDsQqxct6jGBZFybTRE1Uw1quJCSWCMkvZUmC6646jk4HBGOAr0OEnTkO9WjGwL/zy+1rKz/pJhYN8MBby820q83GCCoq12/kIK1JOldSu7Ocys5h+ms81nDre2UKhWDnvUZZzOqKqhPE+EZgFXmplla1BAtub6ZdbW0le98nZBvlgDMdGN1jga7xvkIbZb3v1jEHflb1ZwKln2z9DsRYRnPcoWkjGwWQUpk2RKTYePSXYP9iUNdX7+sFYcGog8vCDTe9vWDZ003aaQgAQBkJYoA/GyVse8n+gBsfXKLXhp2EuFxr9cIJzoMNdgLKlnYjgvAdhjJu0XFop4Fq6hMsrRaQLW9OlCvYGK3kd6eLGPwsSCU4NyFeCNMgVVFkCSKWDD4yAMYK3HHsn98GIt5bnbgSr+ruW9IlJzD9xFsbIGBghMEbGMP/E2cB8NqX8JDIcG/G9fTzZ/hmKtYic8x5jNW+gLxZCPKygVwthOacjU7SgKiK1IQAGExFYNsNKzSBfBgaJAMxVEDPiNN5xlQYDTwGErtRPyLZHRpsGkkzR8s05AwR3HJ3EW18zGXB7Pc9cPI+zL5zGQn4ew7FRnLzlIR7MnWMOujJIn5hsqbhYPjICnLzlYU/OGQCiiobH3tSBGYo1iJXzHkOVCShliKgyZIl/WGXJrUILBP7dzhLhbc6OeyYAb+szwAJTA4v3e1MDJdNGybRh2hSMMazlDSxk/Gfx0SpfjFZwC3TX8nNgYLiWn8Ojz53EMxcbeG9sEsaqHO6clf1oYhyP/buzeM/rO981KFzp9gjVrmJreQN5w8JQIgJF5ttEa/b+wbQpJEIgf/Ur3KtidhYYHwf92BnM/fTbkSnWW3E2dGyrut1PrVG68114zVACed3CYqaEvO6vBKmHOd1+DBRoqQB4+5PHcS1fv3o/GBvDf7nrAgB+ommP9TLzKDdcoiEZRwfj7XgC4Uq3H1grmI7xOJCIKBjt1aAq3C9DBOb9A2MMs6sFZL74R2DT07wVmjH+7/QvgXzlq3X34YG3tWiWPjGJl56/gBdn1/DS8xdg3nUXDvfHkC2ZeHU5D+XJJxt24bnPB8cpjnf7kZaaSG669TgWcvWBGfAW7ihrwYWuJYizsve+N+Ft8nUWOec9AGMMed1EwSAIKZIYxLqPoJShYNogAIqmjeWcDtNiGHvkYZAAd7f6vGuzMaf+hFUJwz1hvHI9B8tmDbrwGDLvmCzbeFKnC88Nec1W7dWPO54GLqfq9/FI8kizqYAbof592a61jvgW7wEKho2CQbGWN0VueZ+wljdweSWP/7mQwavX8/ju9TyurZfKnhWtNl0AbhGwOa438oFECDcMxDDWq+HV5UoLeHAX3mPlvLV/uqH17r4zzwJajTK0XnrX1uhcF4x7te3psBUr5z3AQqYEw6KIhiTIouFkT5Mtmbi6zn/fjQhSVlQ3XdSqMRrhrmzDioShRAQF08bcmnfkWeMTQvDnsnZiif/9OVM8rYxTt/Fp2sPxsYpaw0EijJ9wasajEOJqvInnuN33ofo4Ku+NU69xRSwMsLepTieC8y6HMQZVkgDYKBoUpk1FWmOPUjJtXG5hBqSrrKhOMQBVTReEgZQD1MZO5gzAlfUi1n10862cEIJoVMSrfdypC/yPMTKGl56/UH+MrOq1eR6zEpR5wwqPuAQEtEqGx4M4gfveVO4DJKMqtG0aSCG+xbscw6bQLV4dJwR1xjKCvQNljbv73HFMhBCkT7wTVz5e23TxSWTfMek0gGzuGAyL+gZmoHkXXiPLTsqCTfM32t3nplAaUT0dxSvnq6yga9MZhAAjqQiUbVr8iJXzLiesyBhMRDC7WoAiEzFmao+SLpi4WuMAxxypl2N2WRdw198+ifW3T3ru4awFsZkCIMADP2V8tVl3jCcmQQgw9NteqV36xGQLlp2EpyN8YqpbwKyV8AU1lDD4H5//6272c9W9GWDYDNFt+ooJnfMe4eJSFgOJCJLRik9zV01UFmway6b49kK2LnBJkr/TWzN4J2D9dOpaZIkgpBAkIir6YyGULIp0wUTesALNk9wTRu2x3nTrcd+UR21qoh0a5eDg7L5nmz85pTQVgz1hhJX2RGihc94HHDkQ9wRmQDSe7AUYY7iWLvmuKIMWVsN/9ad47Q/7pw+ST53HsTfejNeN9eGmW29G8qmvBz53PKzg6GACQz38Uj4eVjDSG8WxwTgOJIIVC37HtRHLzmbezM0gIIGP4XpmtEptfX29YOI7CzkUjPpGnnYj0hp7BGELujcpGDZyekBHX822nqiCwaf/FNH/9UPlCdbV6QMANamFeYze92EAxDdFkCmZWM7pOBAP1zw3wUA8jHTRdKR7lYaScht4DRsrFpKGq9/WaHRfN7njpIUIH3flhx2QwpldLeBQKoqoKnesAC9WzgJBFxMLK4j5GNlzpRep2k/GeJ+G6CMPlQOzi9t80so0kGoYA5Z8JrcDgCJLuOFADAOJMFKainhYhSSRwFTJRop6zDG83wrV964tRPb82XlIBJX0S4PUbtAq3LQYLi8XsJbvnB2vCM4CQZeTiNQGZ1ZWGACAIhOM92k8jTXr7zOsXp3fUGOKS0QNDhFhRcZwMoKxvhgOH4jhpqEEEhHFN22wUcvOrV4Huu9P0ICAxJ993ZN+ST719UAlCT/h+AfwTl6xbrogSAi5CcDXqjYdAfAQY+z3qvb5cQB/AeBVZ9OfMcb8T9NViIKgQFBhbrXgka9VtzsTAhxMRtDvph4OH+Y+GjUYI3yytl9qgY2P41//7p89xUVCgN5YCKmIiljdyaExJdPGxaVcU7leubfD6RWhVQNWa19nK1T1ipTv10ohMvnU1zF634frNOHlkwdhkFBvgATwAuFYn9b6QdYdcwcKgoyxlxhj388Y+34APwigAOApn13/1t2vlcAsEAi81Mojq9dqWkiGIksVffuZM4DmDRZu+sAvtcCiGjIPPepJI6gKQV8shJFUdMOB2T3eQ6lo3XYGVtZicz2xq292FBqMdyqSsilSsPbZDwIe4CvPw1q6Whh+4rGG6R4SEJgBPo27U7QrrXEbgFcYY/WnbIFAsGlKjplRGeJNaVAG5HSr0rY/NQWcOwdMTACEgI2PI3v2U0ifmET43ns8jSmYmMD13/l9zN5+AgBDfzyEnqgCxniueyv0xUKedAxf1RJv9x7qc8uVfVh5JdwKhFQCvDtlhTEC85D/JBNeiGwtgPs507nkSlbgsNyt0q7gfBeAei9Czg8TQv6JEPKfCSGvC3oAQsg0IeQFQsgL169fb9NhCYDW7SAF3cdiplQ2FgJ48HIDWjKqYiQVxXBPxHunqSng0iWAUuS/8woW3vJOxMIyBhNhKO+Zwvz/+FcQSoFLl5D6xfehJ6rgcH+8rD6wbNaWsWaV1XPwCrhRKQ4gTWVvhDheGgGf8YWPNipE8udoNvyVoPFZwk9N0w62HJwJISEAbwPgN4rgHwBMMMZeD+D3Afx50OMwxs4xxm5hjN0yMDCw1cMSVCH0zrsTy6bIlipffKnsf8xlc/uBf2MAABkoSURBVOP9GqIhuaHZVTysoE9TEQ/zFfFwT8STIw0pEkZ7tXLhLxZWIEsEmZKJudWC07CxOUKKhHhE4UUzXxVHsxZrd6/6/SRSMTJiqPhg1NKoEOnmtFtRkgS9w9GQjGioMy2D7dA5/zSAf2CMLdbewBjLVP3/PxFCPk0IOcAYW27D8woEexqralJ2+bLdQSJ8HFkraoG1oomBOPddHkxEkNS8zUrVwT0WVjCSimIxW8J6wfTNHW+Esd4o1gsmdJtitWZuYSsFP8b4pBTXrMkt+NGq1EglyPu8FwxIn3hnw9mBrbSHkwDnvmSUn/g6QTse9d0ISGkQQoYBLDLGGCHkDeAr9ZU2PKdAsOdZKwRraNcLJmJhBX2xxt7Clk1hWBTLOb1skkWp0jCoJzUVYVXCck6HTdmmbGgzJRM9ERWKLKE/HoJF+SzB6pNNs/bxCrzjJijz66o9fAM9ge+qnTvMKUgXLTAWPPzVbyxX9X6dNBrbUlqDEBID8BMA/qxq2/sJIe93fnwngBcJIf8E4CyAu5hIgAoELSFXexFXbU9pCvriIfTWrID9kAifjmNRhoFEGElNbWm1HVFljPZqCG1iJNNStlSx1ZyZAQ4fhqIqeM0bXf2wt6i5ZUhw8wt8NMo9UQXHhuIY7W0sgQvSSNe66XWKLQVnxlieMdbPGEtXbfsMY+wzzv//gDH2OsbY6xljtzLG/t+tHrBAsB+wqde0qjrv2hcLYyQVbamWIEkE/bEQjg7EMJiItM2wpxG9Wojbas7MYOZ3fx43vGMW8kMMr5mcw7f+6ANI/fn5llqzG1mMVsMaqCmqIQQY7Aljoj+GsCLDsGjDtEorHZUFw2pL8dQP0SEoEHQZJdPGK9dzWEiXAFRP8OCuatoGC1D98TDUbQjKLq7XxMznP4zp201cTvEF7OUU8Ms/ZeL/Ov/RpvrlVlatLvwcFRzsn3nlPG7/2nF83+d78YYv3oSZCzPO/RqrQVrRSJs2gxbuzHsrgrNA0EWYNsWry/myJScrexDzKDKQCO8a9c2p719BoSYlXggBD/3AqjMUIPi+G/EBkRoF5ovn8ejffhjXcnNgYJhNz2L66WnMXJhBSJEwmAgH3repxI4AY32aMD4SdD+inLB1rmdLsGilw02qKXRt0U1z27Apw2zS/7a5JAKkdRxCNjqgFoFvzNkXTqNke4N8wSzg/r95AADqCqoMDJITFZtJ7LSQ3DGlBiCCs6CN7JYVXTdTMKgzSLTS5VbNbhjgSynDxaUcDsl9vrePZSXcPN5bVSD0wsCadPbV7M+AVEB+eiHvH+TnM9xvgxBSfk/djkTXY6SRRjqkSBiqbf5pMyI4CwRdRfDSOKWp6IsHX4Z3C2sFA4ZF8as/+gSi8K5MNQN4/Ju0YR6ZgGDhvodbthhNPnUeI7/xYd/89HDMPzUxkuDbZYngxsEYtJDsO/A2fWISLz1/AS/OruGl5y+UZXT98dCWW9ybIYKzoG1kSyaWMqVyIUuwceJhLo975uJ53P7kcbz+C724/cnjeObiefREm0vndhpKGRYdD+g7jk7ioX/3KRyMjYGAYDwr49zTfHK2S1AeeSMWo43y0/f920cQVbySuYgcxYM/+lj557Ai42AqUk5nNIMQoL+JvrwdiBmCgraxmjdwPaujV1Mx2OFLvr1KtmTiU89/CY8+d9KTK40oUXz6Zz6Ln7lxEgPO6rkbp9/kdQvfvZ73ve3m8V4Qn3jDCMG/zK05NQviqFNatw1t9LjMsvHVf/kKTj17CrPpWYwnx/GhWx7E1PEpDCe9n9GXF7MoBcxGJAQY69VQsmxEVBmJcONGnlZpZBkqxlQJ2kZfLIRUVO2oMH+vk4io+NQ/PFZXxCpZRTz4X0/h7a95V1cGZZfVBpNBGo2qcheJtcHYDdiNCHpce2QUikQwdXwKU8enQCnD1XQRhkVh2t4gTCmrC8yup/Va3kAioiCpqUhi+65eRFpD0FYkifAGBIEvjAU7qLlcydYHGgC4mp1HSlO7WhWTbzD4tLH6gcsFq/O+zfTLfCeGhfse9H3c0qOPebZJEi/+DcT5aK3a23qi3rVqIsJ9Rib6taZt8p1AfIsEbaGbA0Y3wRsfGgec8eR4w+2dNHjfKo06EBvlkZkzJLb6rWnW+UcIc4yN7qx73PQnP4X4L9xbd5+DySgSURWJSP0KeLxPw1AyXKeISURUrBdMpIud6QQMQuScBYJtwrQpCND0ymLmwgymn55GwawMatVUDefeeg5Tx6c6fJSbh1KGby9kN2UGVE5nkOpRVW4Ljr9xUVDo0sIybhyIb/gYXK6sF8sOeocPaEhEVFxeyUOWSFM/jo3SkTFVAoGgNdxgpcpSSymfqeNTOPfWc5hIToCAYCI5UReYGWOwbP/i1U4hSQQHEiEM9mxE7scbbcorZOZeWfCwLDkt1oRU/EWq29n9aNT1t1FmVwso6BbG+7T6oQYdRhQEBYIOY9kUlJHW2nxnZmDffz/unp/Hu0ZGYT72R4i+773lm10PZ0LIhubrbReDiQhyJZN3Npa3ukU9VtVUw8opDK83M18RSxIBpd7VseS0SzZ71UqrmrgAIlVOfJQCecOGFlagyNtbiBXBWSDoMOGaAa18Ph6BZVPPSprNzIBMT0Mu8HSGMj8H6QPvx/WShYH3/wIAr3yuU54OW6Vo0pqBqG6Bj0AilWDcaPVLKSqjtOF07zGAgntpNLpm2IzNaSM62aLdiO787QoEexBKGYqGhatOk45b2OPtzlnYH70fKBQ895GKRfQ+8Ou4tJzH3GoB2ZIJ3erMQNF20aupvqZG7oitZlagvI2alZfNbn65PMC1CbUyuY1SXfgLq1LHxlA1QwRngWDb4AEnHuIrsYizotYtiqJBIV/x94GQ11YhffWrWC+YuLRcwMuLuS3N9us0ihwc0FqxAuXDS9x8c730sNkrN2y6paGr1Svvnbw6EcFZINgmJElCJKSUA5dNeeBRZe7vYI/4+0AQ8BblwZ4wXnswgdce7OnqRhSbMpRM/9V9o1br8tBWwJk95Y6yIp6iIR9LFRyiZ1cKWEyXcGW9uCmJpxaqpDFsunNFVxGcBYJthDhjo4AqhznGoIUU5B4+HbgqVK/OIxnlM/m63ZnOsChCASvORlagDK4bHwDwgiAPwqycp5YkPnAAzN8P2rVYLZoWVnMGrud05De4ivZKAXfuvRbBWSDYQQghUJzGjfB73wM75W+zaR4abW4y0UUEeVQ0NrD38cdglUEDAC8U8mIhqbMJcCeUy1LlkRbTOhYzpQ2toBORysq5J7JzmgkRnAWCBnRyunI1JdNGNCTD+J3f9W1FNk4/1tWpjGrUBpKzRi3crcwVLMOYRwNNJM9NnsKhaW/sdxhRZRxI8HZt3RJpDYGga3CLbQXDamjk007c4qD28++F/unPwB4b565q4+Mgn/sc4r9wL0LbOAdwK8gSQUT1Dy2NWrhpTS65oaqD8PRH+U+VJrpWCW1YFNc2aGM7mOANJz0+bd7bhWjfFgiqMCyK2dU8jg4mduwYSqaNsJOX3q3TZSyb4qXFLBrV09xAzABIbprCWfG6qo7q4iGNRsuBXHI6BmsnxVQenHlWz5IEfM9wT8v5epsyXF0vYiARLp84O4Fo3xYIWiRTMsvmPbV64kzJRKGB61o7MG0Km1JYlh2oeNgNKLKEgcA2auZol50xXIwX/6qDabMBr9QZ5RWk2qgd+kopn9DSKrJEcDAZ2VGTKRGcBS3TzdradqBbNtYLBhSZIFsyYdTkG3siqkdm1QlUWYIsSTApEO3wc3WawUQkwGeDNJy8DbQ+4JXBX7VBGVC7SM6WNnZiJYRA2cE8vwjOgpbZpVfYLWPaDD1RFb1aiE+72MZ8Y/UqPaLK0HaoZbjdDPVEoCp+7YKN79dY1VH9OMTRPTd/ilzJQqbUuu0nz53vXJ5fBGdByxBC9rRvczysYDARQUSVfTvDql3gskUTjLG2qTmCdMF7gUOpaF2ul5WNj/zfv8bG/PX4Td/p+bP6gmK6sL2ezFth734iBB1htxaoGmFYFFfXi6C0cbBVZAk2ZTAsG4moCkppWxpCSoZVHoq6F+mJqDgyEKuaPsKcnDH/yS9IN1J1PHPxPH76D4/g9Z9P4S2fSOEfpo4g9dQ3PPcPahNXv/Zkx19vuxBqDUHbcN3WdiOM8YBRMKyG6QxK+YqPUgpZbs8lL2MM6wUDyWho12iZN8ta3kDRtLGSqy3Osaors+D34JmL53H6v30QRVTurxnAZ/9PFT/2vk+Xp3PfdOtx/3mFo2NQ52bb8VLaglBrCDpG9UpztwZmoGJn2SzP7Hopy7KMzBe+BHNsHEySYI2Ng83MAPC+J9yJrl51YVMG3bRBKcNK3kBvLLznAzPAB6YeSkXx2oOJmjl+FQtRqUG64+wLpz2BGQAKIeA3f8wsKzmA4IKiEmAu1Y2I4CzYEt3u89AJ1gsGFj/zRcQ/9CtQ5/llszI/B/zSNDfLpwymRcEYw/xasZwPzesVBQilDMt5A4QAyaiKpWwJ6wUDa3lj27oSdxJFljDWp2HigIZoqNovhPCUB6rTHZVZggt5/+A6m/QG5KCCoj3qv70bEcFZsC9oRTPcyso/p1uYWy2i92OP1OlwSbEA86P346WFLF5ZzuE7i1kUTbtc8VdkqSzvMinFgXgIhPAJKQdiYYQUCb2x0L464fVEVBwdTODYUBx98VBZdUE8k7gr/hrDMf/gOp72BuSggqLx6Mfa/yI6hAjOgj1LtU5Zb1NDx5rTzt3sstm0GAyLedqYw4qM5ZwBSrkLXfWkakkiHddQdzOqLGEkFcXRQW+QruXkLQ8hipBnm2YAZ76lepQc6ROTuPJxb0Fx6RO/j+j73tPJl9FW9u+nQbDnkQhg2xSEkLZplod6IrApgz0yylMZNbCxMRACKDLBUCKCWFjxrISHk9s7JHS3EVFljKSiOJSMYDVvYCFT8rSA33GUF/w+/dxHMW+tYDwNfOwf+/Cm//BxrLztnZ7HSp94J9bfzvcnBDh8ILar6iJCrSHYk2RKJlRCoCgSJELanyqYmQGmpz1jpZimwf7MZ2C+625IEjwrY8HmYIyhZFJknI5N6mjLR3u1si/23GoB6z76ZXe8FQAM9YQxuM3Ts1uhkVpDrJwFe5KNuIm5E603xNQUbxH+zVNgs7OwR0axdP9DSN15F7Qdmjm3FyGEIBqSA8deLWVLnpl/fqQ0tSsDczNEcBbsewqGhfgm0h7SPVPAPVMgAEq6hRhl0MI7ZzG5HwkrMhSZwLRqMwDcsS4aknAoFfW9b7cjCoKCfUl1Om8j/gnrBQNzqzyVUe1QFw8rSEZFYN5uklEVA/F6cyXXiH+sT9u16hcRnAX7jtpORqUFX4u8buG713Momjb641wtQIANGekIOkNfLITDB7SKDM8ZV5WMqrs67y/SGoJ9R3VgbrXlXJEJhnoi0EJyeX9FkmCznRtjJOC4apxYWEGuZHFFNEGAXenuQQRnwb7EtClUWWpZWhVWZIRkb15TVSSoirj47BoYAyEMlBEcTEV29aoZEMFZsE/xswQNwrIp8oaN1byBZERBbyy0q/Sy+4VkVIUkEUiEoD8Wan6HLkcEZ4GgCddzOnTTRtGgKJm2EwR2t9HTXqQvHkafT3FwtyKCs0DQAJsy9EQUZBjDYCJSNuTZzfao+4W1vIHeXbyCFgkzwb7CtGlTE6S8XlFgyBJBWJEx1BOFFlYQCyuQJAmSJL463QjvKLRh2hTrTZpTuh3xCRPsK1RZKuuaGWMwLOoZPwUAEpE8OmhFlvaF1/Je4Fq6hJcXc+Urnt2MCM6CvcXMDHD4MCBJ/F/HAN/FclbOlk2R1S2EFKlO5xytkssJdhe9Wgg3DMSgyhL6d3n+eXefWgSCamrNiC5f5j8DsN99N66uF7FeMDGaiqJHUwP9N0Q+efcS5MGxGxErZ8He4dQpj0scAKBQAH3gAby8lC07l+UMC9S2mw50FQh2EhGcBXuHWf/BnWRuzmOMUzJtzK0XkS7oyOlW3f48F22DUtH9J9g5RHAW7B3Gx303m4dGEVElaGEZskQQkiVYFACRoFVNKinoFhhj0C2KkCKDNZgCLRB0mi0HZ0LIJULIBULIPxJC6hzyCecsIeQiIeSfCSE/sNXnFAj8oB87AxbVPNuYpsF87DGM9moYS0UhScBQMoIb+jTIMoFcJYlTnHbuqDMuare6mQn2Bu1aOb+JMfb9AY7+Pw3gmPNnGsB/bNNzCgRldMvG4lvfgbknPlmeG2eNjoGcO4fYz9+LaEhGSJVx01ACqiyhaFOYFvVI5ELCJ0PQRWyHWuNnAfwx48LR5wkhKULIQcbYtW14bsE+YW61CFkC9Mk7sfree5CMKFBkAtSY3xBCQCmFIhH07HKplWBv047gzAD8NSGEAfgsY+xcze0jAKonYc4720RwFrQFy6YIywTDyUg5NVF9myJLKBo2QoqEvGEhosj7etK1YHfQjk/ojzDGrhBCBgF8kxDybcbYtzb6IISQafC0B8YDCjsCgR+KLGGsP1a3Xbds5EoW+uPhsv51I7MFBYKdZMtJNsbYFeffJQBPAXhDzS5XAIxV/TzqbKt9nHOMsVsYY7cMDAxs9bAE+5DaSfIyIUhpu9f4RrC/2VJwJoTECCEJ9/8AfhLAizW7/SWA9zqqjVsBpEW+WbARLJv7X6zmjYb7fXc5j3ShYnajyP9/e3cXIlUdh3H8+zij66aVQS9QVnZRF5kGZdZFURiVRe8lSESvFwndmiV2YTdBFtVFhHQRG71CgRBkWnljSBFpZr6GL2RWZCYU5tvu7K+LOeW4OzPOuDrnf3afDwzMnjOHeTh7/s8e/nvmzChfcWGFNdRpjXOAJdkcXxl4LyKWSZoDEBGLgaXAbcBWYD/w6BDf00aYcmkUfZV+/jrQy4Tshur1nN49mlLJZWzDw5DKOSK2A5fXWb645nkATw7lfczKpVF0jy6x73Bfw3njsaNLVCr+OLYND76w0wrhYG+FcklN78U8bkxpWN34xkY2X09kyevvDw4crtAfQanJ3eIkMabsaQ0bHnzmbMkLqt903VsJTuv2pXA2MvjM2ZIngvFdZSKirW/NNisyH+lWANWpilP9ARIbQVzOljx/f5+NRC5nM7MEuZzNzBLkcjYzS5DL2cwsQS5nM7MEuZzNzBLkcjYzS5DL2cwsQS5nM7MEuZzNzBLkcjYzS5DL2cwsQS5nM7MEuZzNzBLkcjYzS5DL2cwsQS5nM7MEuZzNzBLkcjYzS5AiIu8Mg0j6A/ipweozgT0djHMiFTV7UXODs+ehqLmh89kvjIiz6q1IspybkfRtREzLO8fxKGr2ouYGZ89DUXNDWtk9rWFmliCXs5lZgopYzm/kHWAIipq9qLnB2fNQ1NyQUPbCzTmbmY0ERTxzNjMb9pIrZ0lvStotaX3NslmSNkjqlzToP6mSLpC0T9LczqYdlKOt7JKmSvoqW/+DpLGdT91ebkmjJb2V5d0kaX4emWvy1Mv+oqTNktZJWiJpQs26+ZK2Stoi6ZZ8UreXW9JNklZn+3y1pBl55c7ytLXPs/W5j9HjOFZyHZ/JlTPQA8wcsGw9cC+wssE2LwOfnsRMreqhxeySysA7wJyImAzcAPSe/Ih19dD6Pp8FdEXEFOBK4AlJk05yvmZ6GJz9c+CyiJgK/AjMB5B0KTAbmJxt87qkUueiHqWHFnNTve72jmyfPwy83amQDfTQevb/pDBGe2j9WMl9fCZXzhGxEtg7YNmmiNhS7/WS7gZ2ABs6EK+pNrPfDKyLiO+z1/0ZEZUOxBykzdwBjMsO3m7gMPD3yU9ZX4Psn0VEX/bj18DE7PldwAcRcSgidgBbgekdC3t0xpZzR8R3EfFrtnwD0C2pq2NhB2hznyczRtvMnfv4TK6c2yFpPPA08FzeWY7DJUBIWi5pjaR5eQdq0UfAP8BvwE7gpYjY23yTXD3GkTO284Cfa9btypalqDZ3rfuANRFxqMN52vF/9oKN0dp9nvv4LHf6DU+whcArEbFPUt5Z2lUGrgWuAvYDKyStjogV+cY6pulABTgXOAP4UtIXEbE931iDSVoA9AHv5p2lHY1yS5oMvED1rC5JdbIvpABjtE7u3Mdn0cv5auB+SYuACUC/pIMR8VrOuVqxC1gZEXsAJC0FrgBSL+cHgGUR0QvslrQKmAYkVc6SHgFuB26MI9eL/gKcX/OyidmyZDTIjaSJwBLgoYjYllO8phpkT36MNsid+/gs9LRGRFwXEZMiYhLwKvB8Sr/0Y1gOTJF0SjZ/ez2wMedMrdgJzACQNA64Btica6IBJM0E5gF3RsT+mlUfA7MldUm6CLgY+CaPjPU0yp1dQfAJ8ExErMorXzONsqc+RpscK/mPz4hI6gG8T3U+s5fqX6/HgXuy54eA34HldbZbCMwtUnbgQar/JFkPLCpCbmA88GGWeyPwVIL7fCvVueW12WNxzesXANuALcCtRcgNPEt1nn9tzePsImQfsF2uY/Q4jpVcx6c/IWhmlqBCT2uYmQ1XLmczswS5nM3MEuRyNjNLkMvZzCxBLmczswS5nM3MEuRyNjNL0L+KzeHrJ1j/2AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "province_centroid = province.centroid\n",
        "fig, ax1 = plt.subplots(figsize=(10, 8))\n",
        "province.plot(ax = ax1, alpha = 0.2, linewidth = 1)\n",
        "province_centroid.plot(ax = ax1, color = 'red', label = 'Province Centroid')\n",
        "plot_stations.plot(ax = ax1,color = 'green', label = 'PAGASA Weather Station')\n",
        "leg = ax1.legend()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GB1mOWuGSojc"
      },
      "source": [
        "To recall, we have two geodataframes: \n",
        " \n",
        "\n",
        "*   `province`, which contains the boundaries per each province; and\n",
        "*   `plot_stations_pars`, which contains the location of each weather station and the GEVD parameters to be used in computation of T-year return levels.\n",
        "\n",
        "For now, we will assume that the values estimated for the **provincial centroid** represents the whole province.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "11IBzDFHcEAj"
      },
      "source": [
        "## Spatial Interpolation of the Parameters"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1wc4KhNfrKyJ"
      },
      "source": [
        "First, we define the interpolation method: Ordinary Kriging"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9o9lTq1grhx2"
      },
      "source": [
        "$$\\hat{x_0}=\\sum_{i=1}^{m}\\hat{w}_i x_i$$\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XNhDvibV3THV"
      },
      "source": [
        "where:\n",
        "\n",
        "*   $\\hat{x_0}$ is the estimate value on a location to be interpolated\n",
        "*   $x_i$ the value at station $i$\n",
        "*   $\\hat{w}_i$ is the estimated weight of the station $i$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sl11Y_0X7fdY"
      },
      "source": [
        "We will use the `pykrige` package to accomplish the spatial interpolation."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c5A_TpqTQxst",
        "outputId": "7cb031ca-5580-4f61-aa35-a224b53995e1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pykrige in /usr/local/lib/python3.7/dist-packages (1.7.0)\n",
            "Requirement already satisfied: scipy<2,>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from pykrige) (1.7.3)\n",
            "Requirement already satisfied: numpy<2,>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from pykrige) (1.21.6)\n"
          ]
        }
      ],
      "source": [
        "!pip install pykrige\n",
        "import pykrige as pyk"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V9VOtZjksX9W"
      },
      "source": [
        "Now, create the ordinary kriging object by plugging in the required data as arrays: the x and y coordinates, and the value to be interpolated. \n",
        "\n",
        "We perform this three times, one per parameter (location $\\mu$, scale $\\sigma$, and shape $\\xi$) to be interpolated."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "W1yJkusj1I5i"
      },
      "outputs": [],
      "source": [
        "# Create the ordinary kriging objects\n",
        "\n",
        "# location \\mu\n",
        "OK_loc = pyk.OrdinaryKriging(\n",
        "    np.array(plot_stations_pars['LON']),\n",
        "    np.array(plot_stations_pars['LAT']),\n",
        "    np.array(plot_stations_pars['location']),\n",
        "    variogram_model=\"linear\",\n",
        "    verbose=False,\n",
        "    enable_plotting=False,\n",
        ")\n",
        "\n",
        "# scale \\sigma\n",
        "OK_scale = pyk.OrdinaryKriging(\n",
        "    np.array(plot_stations_pars['LON']),\n",
        "    np.array(plot_stations_pars['LAT']),\n",
        "    np.array(plot_stations_pars['scale']),\n",
        "    variogram_model=\"linear\",\n",
        "    verbose=False,\n",
        "    enable_plotting=False,\n",
        ")\n",
        "\n",
        "# shape \\xi\n",
        "OK_shape = pyk.OrdinaryKriging(\n",
        "    np.array(plot_stations_pars['LON']),\n",
        "    np.array(plot_stations_pars['LAT']),\n",
        "    np.array(plot_stations_pars['shape']),\n",
        "    variogram_model=\"linear\",\n",
        "    verbose=False,\n",
        "    enable_plotting=False,\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7e2kKtuis1O4"
      },
      "source": [
        "We now use the ordinary kriging object for the interpolation on arbitrary points (provincial centroids)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gsAZbSY0V2uh"
      },
      "outputs": [],
      "source": [
        "# z is the estimate, ss is the variance\n",
        "z_loc, ss_loc = OK_loc.execute(style = \"points\", \n",
        "                               xpoints = np.array(province.centroid.x), \n",
        "                               ypoints = np.array(province.centroid.y))\n",
        "\n",
        "z_scale, ss_scale = OK_scale.execute(style = \"points\", \n",
        "                               xpoints = np.array(province.centroid.x), \n",
        "                               ypoints = np.array(province.centroid.y))\n",
        "\n",
        "z_shape, ss_shape = OK_shape.execute(style = \"points\", \n",
        "                               xpoints = np.array(province.centroid.x), \n",
        "                               ypoints = np.array(province.centroid.y))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PNas0UYjRfnB"
      },
      "outputs": [],
      "source": [
        "province[\"location\"] = z_loc\n",
        "province[\"scale\"] = z_scale\n",
        "province[\"shape\"] = z_shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6Q-2HDlG8Z3M"
      },
      "source": [
        "## Estimating Return Levels per province "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "leUsRn0G8Oya"
      },
      "source": [
        "We now then apply the qgevd function per province to estimate the corresponding 5, 10, 25, 50, and 100-year return levels.\n",
        "\n",
        "Recall that the rows in the `province` dataframe represent a province."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "byudjc7SAmqz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "outputId": "e1a269b3-d4a6-44f5-9d38-4d65b0f61e1a"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-405714340e5a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# 5-year return level\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m province['rl_5'] = province.apply(lambda z: qgevd(1-1/5, z['location'], z['scale'], z['shape']), \n\u001b[0m\u001b[1;32m      3\u001b[0m                axis = 1,result_type='expand')\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# 10-year return level\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'province' is not defined"
          ]
        }
      ],
      "source": [
        "# 5-year return level\n",
        "province['rl_5'] = province.apply(lambda z: qgevd(1-1/5, z['location'], z['scale'], z['shape']), \n",
        "               axis = 1,result_type='expand')\n",
        "\n",
        "# 10-year return level\n",
        "province['rl_10'] = province.apply(lambda z: qgevd(1-1/10, z['location'], z['scale'], z['shape']), \n",
        "               axis = 1,result_type='expand')\n",
        "\n",
        "# 25-year return level\n",
        "province['rl_25'] = province.apply(lambda z: qgevd(1-1/25, z['location'], z['scale'], z['shape']), \n",
        "               axis = 1,result_type='expand')\n",
        "\n",
        "# 50-year return level\n",
        "province['rl_50'] = province.apply(lambda z: qgevd(1-1/50, z['location'], z['scale'], z['shape']), \n",
        "               axis = 1,result_type='expand')\n",
        "\n",
        "# 100-year return level\n",
        "province['rl_100'] = province.apply(lambda z: qgevd(1-1/100, z['location'], z['scale'], z['shape']), \n",
        "               axis = 1,result_type='expand')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "province.head()"
      ],
      "metadata": {
        "id": "UP4FudlxvVbs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EPvAgxGL8rLz"
      },
      "source": [
        "## Visualization per province"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "fQeq3A3SEIAv",
        "outputId": "676f6ee1-9792-4528-f544-8a5b360d62e5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, '50-year Rainfall Return Levels (mm)')"
            ]
          },
          "metadata": {},
          "execution_count": 107
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2016x504 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1,4, figsize = (28,7))\n",
        "\n",
        "# 5-year return level\n",
        "province.plot(column = 'rl_5', legend = True, vmin = 120, vmax = 500,ax = ax1)\n",
        "ax1.set_title(\"5-year Rainfall Return Levels (mm)\")\n",
        "\n",
        "#10-year return level\n",
        "province.plot(column = 'rl_10', legend = True, vmin = 120, vmax = 500,ax = ax2)\n",
        "ax2.set_title(\"10-year Rainfall Return Levels (mm)\")\n",
        "\n",
        "#25-year return level\n",
        "province.plot(column = 'rl_25', legend = True, vmin = 120, vmax = 500,ax = ax3)\n",
        "ax3.set_title(\"25-year Rainfall Return Levels (mm)\")\n",
        "\n",
        "# 50-year return level\n",
        "province.plot(column = 'rl_50', legend = True, vmin = 120, vmax = 500,ax = ax4)\n",
        "ax4.set_title(\"50-year Rainfall Return Levels (mm)\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "JYEnvIjKHpD2",
        "outputId": "4bd2bddf-63a7-48ee-e87c-c47a8c88579b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, '100-year Rainfall Return Levels (mm)')"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "province.plot(figsize = (8,8),column = 'rl_100', legend = True, vmin = 120, vmax = 500)\n",
        "plt.title(\"100-year Rainfall Return Levels (mm)\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Kwo0Chnx29Rx"
      },
      "source": [
        "Luzon and eastern portion of Visayas experience the most extreme rainfalls in the country, and more frequently."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "For future studies, we can downscale this down to city level while considering numerous landscape features such as mountains, water bodies, infrastructure, land-cover characteristics, and components of the climate \n",
        "system. \n",
        "\n",
        "This is particulary useful for the Philippines having a complex topography. For example, rainfall intensities recorded in Port Area, Manila is different from the rainfall intensities recorded in Science Garden, Quezon City, while being in the same region (NCR)."
      ],
      "metadata": {
        "id": "queRc3RkyBWk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Summary"
      ],
      "metadata": {
        "id": "5V7ODyEYCDJw"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "To summarize, these are the steps that we did:\n",
        "\n",
        "\n",
        "1.   Extract recorded annual rainfall maxima per station\n",
        "2.   Fit univariate GEV distribution on the data from each of the stations by estimating the parameters $(\\mu, \\sigma, \\xi)$\n",
        "3.   Using the estimated parameters from each station, estimate the the same parameters located on the provincial centroid by spatial interpolation (Ordinary Kriging).\n",
        "4.   Map the 5-year, 10-year, 50-year, and 100-year rainfall return levels for each of the Philippine provinces. \n",
        "\n"
      ],
      "metadata": {
        "id": "G_XmPvJRCFFu"
      }
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "provenance": [],
      "authorship_tag": "ABX9TyNJ+/wwWLKdCbIsE/Nx7ubb",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
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  "nbformat_minor": 0
}