diff --git a/_images/992aaa8cea22babcd90b8a48998075f7d4eb02a3cc0e65a7f2af694583ada902.png b/_images/992aaa8cea22babcd90b8a48998075f7d4eb02a3cc0e65a7f2af694583ada902.png deleted file mode 100644 index 0795049..0000000 Binary files a/_images/992aaa8cea22babcd90b8a48998075f7d4eb02a3cc0e65a7f2af694583ada902.png and /dev/null differ diff --git a/_images/a910fb79d19b82b5a4bc517ca2f0308d29d9ed2e8be64606e8b3e106964967fc.png b/_images/a910fb79d19b82b5a4bc517ca2f0308d29d9ed2e8be64606e8b3e106964967fc.png new file mode 100644 index 0000000..9f2d86e Binary files /dev/null and b/_images/a910fb79d19b82b5a4bc517ca2f0308d29d9ed2e8be64606e8b3e106964967fc.png differ diff --git a/_sources/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb b/_sources/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb index d83fc86..b7632c8 100644 --- a/_sources/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb +++ b/_sources/notebooks/nighttime-lights/nighttime-lights-in-jordan.ipynb @@ -34,13 +34,13 @@ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import seaborn as sns\n", - "from blackmarble.bm_extract import bm_extract\n", - "from blackmarble.bm_raster import bm_raster\n", "from bokeh.models import ColumnDataSource, HoverTool, Legend, Text, Title\n", "from bokeh.plotting import figure, output_notebook, show\n", "from gadm import GADMDownloader\n", "from matplotlib.font_manager import get_font_names\n", "\n", + "from blackmarble.bm_extract import bm_extract\n", + "from blackmarble.bm_raster import bm_raster\n", "sns.set_theme()\n", "sns.set_style(\"whitegrid\")\n", "\n", @@ -61,7 +61,9 @@ { "cell_type": "markdown", "id": "f1cce32c-f001-4324-9aeb-1246a3044457", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ "#### Define Region of Interest\n", "\n", @@ -113,7 +115,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_59bcd02cf74c8f663848f05ba14a0f19 {\n", + " #map_3e02c336886dfe89f5f69411a015b773 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -143,14 +145,14 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_59bcd02cf74c8f663848f05ba14a0f19" ></div>\n", + " <div class="folium-map" id="map_3e02c336886dfe89f5f69411a015b773" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_59bcd02cf74c8f663848f05ba14a0f19 = L.map(\n", - " "map_59bcd02cf74c8f663848f05ba14a0f19",\n", + " var map_3e02c336886dfe89f5f69411a015b773 = L.map(\n", + " "map_3e02c336886dfe89f5f69411a015b773",\n", " {\n", " center: [31.275786346500098, 37.12986183200016],\n", " crs: L.CRS.EPSG3857,\n", @@ -159,83 +161,83 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_59bcd02cf74c8f663848f05ba14a0f19);\n", + " L.control.scale().addTo(map_3e02c336886dfe89f5f69411a015b773);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_a473e2eea1b33bc3dc9f6c1a8c7c3d7d = L.tileLayer(\n", + " var tile_layer_6c00681eff1485662fc7a8a8b83f159b = L.tileLayer(\n", " "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_59bcd02cf74c8f663848f05ba14a0f19);\n", + " ).addTo(map_3e02c336886dfe89f5f69411a015b773);\n", " \n", " \n", - " map_59bcd02cf74c8f663848f05ba14a0f19.fitBounds(\n", + " map_3e02c336886dfe89f5f69411a015b773.fitBounds(\n", " [[29.183401000000117, 34.95763778700018], [33.36817169300008, 39.30208587700014]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_styler(feature) {\n", + " function geo_json_015ccf46440b02b2f218dff741ccd12f_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_highlighter(feature) {\n", + " function geo_json_015ccf46440b02b2f218dff741ccd12f_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_pointToLayer(feature, latlng) {\n", + " function geo_json_015ccf46440b02b2f218dff741ccd12f_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_styler(feature)\n", + " let style = geo_json_015ccf46440b02b2f218dff741ccd12f_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_onEachFeature(feature, layer) {\n", + " function geo_json_015ccf46440b02b2f218dff741ccd12f_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_bc3e0db8a8bd18e203b2d6472268bf1e.resetStyle(e.target);\n", + " geo_json_015ccf46440b02b2f218dff741ccd12f.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_015ccf46440b02b2f218dff741ccd12f_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_bc3e0db8a8bd18e203b2d6472268bf1e = L.geoJson(null, {\n", - " onEachFeature: geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_onEachFeature,\n", + " var geo_json_015ccf46440b02b2f218dff741ccd12f = L.geoJson(null, {\n", + " onEachFeature: geo_json_015ccf46440b02b2f218dff741ccd12f_onEachFeature,\n", " \n", - " style: geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_styler,\n", - " pointToLayer: geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_pointToLayer\n", + " style: geo_json_015ccf46440b02b2f218dff741ccd12f_styler,\n", + " pointToLayer: geo_json_015ccf46440b02b2f218dff741ccd12f_pointToLayer\n", " });\n", "\n", - " function geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_add (data) {\n", - " geo_json_bc3e0db8a8bd18e203b2d6472268bf1e\n", + " function geo_json_015ccf46440b02b2f218dff741ccd12f_add (data) {\n", + " geo_json_015ccf46440b02b2f218dff741ccd12f\n", " .addData(data)\n", - " .addTo(map_59bcd02cf74c8f663848f05ba14a0f19);\n", + " .addTo(map_3e02c336886dfe89f5f69411a015b773);\n", " }\n", - " geo_json_bc3e0db8a8bd18e203b2d6472268bf1e_add({"bbox": [34.95763778700018, 29.183401000000117, 39.30208587700014, 33.36817169300008], "features": [{"bbox": [35.667037964000144, 32.20119094900019, 35.96717453000008, 32.420455934000074], "geometry": {"coordinates": [[[[35.78606033300002, 32.20119094900019], [35.783786774000134, 32.20915222200017], [35.78332138000019, 32.213363647000165], [35.78414154100011, 32.21976852500006], [35.78607177700013, 32.224590301000035], [35.787792207000166, 32.232173919000104], [35.792560578000064, 32.24715042100007], [35.79425811700014, 32.250358581000114], [35.797103881000055, 32.25366592400013], [35.79873275700015, 32.25649642900015], [35.79948043700006, 32.26004028400018], [35.7991333010001, 32.26375579900002], [35.79737091100009, 32.26731109600007], [35.7960891730001, 32.26861953700006], [35.79309082000009, 32.270637513000054], 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29.54486084100006], [34.971248627000136, 29.54486084100006], [34.971248627000136, 29.545139314000096], [34.97097396900011, 29.545139314000096], [34.97097396900011, 29.545417787000133], [34.970695496000076, 29.545417787000133], [34.970695496000076, 29.545694352000055], [34.97013855, 29.545694352000055], [34.97013855, 29.545972825000092], [34.96982956000005, 29.545972825000092], [34.96930694600013, 29.545972825000092], [34.96930694600013, 29.545694352000055], [34.96875000000006, 29.545694352000055], [34.96875000000006, 29.545972825000092], [34.96819305400015, 29.545972825000092], [34.96819305400015, 29.54624939100006], [34.96763992300015, 29.54624939100006], [34.96763992300015, 29.546527864000097], [34.967082977000075, 29.546527864000097], [34.967082977000075, 29.5468063350001], [34.96597290000017, 29.5468063350001], [34.966011046999995, 29.54706573400017], [34.96632385300012, 29.547603607000156], [34.968986511000026, 29.554246903000035], [34.97570419300018, 29.57099723800019], [34.98645782500017, 29.58982467800007], [34.999999999000124, 29.60351753200007], [35.00167846800019, 29.605215074]]]], "type": "MultiPolygon"}, "id": "0", "properties": {"COUNTRY": "Jordan", "ID_0": "JOR"}, "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " geo_json_bc3e0db8a8bd18e203b2d6472268bf1e.bindTooltip(\n", + " geo_json_015ccf46440b02b2f218dff741ccd12f.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", " let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\n", - " let fields = ["ID_0", "COUNTRY", "NAME_1", "NL_NAME_1", "ID_2", "NAME_2", "VARNAME_2", "NL_NAME_2", "TYPE_2", "ENGTYPE_2", "CC_2", "HASC_2"];\n", - " let aliases = ["ID_0", "COUNTRY", "NAME_1", "NL_NAME_1", "ID_2", "NAME_2", "VARNAME_2", "NL_NAME_2", "TYPE_2", "ENGTYPE_2", "CC_2", "HASC_2"];\n", + " let fields = ["COUNTRY", "ID_0"];\n", + " let aliases = ["COUNTRY", "ID_0"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -256,7 +258,7 @@ "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -266,7 +268,7 @@ ], "source": [ "COUNTRY = GADMDownloader(version=\"4.0\").get_shape_data_by_country_name(\n", - " country_name=\"Jordan\", ad_level=2\n", + " country_name=\"Jordan\", ad_level=0\n", ")\n", "COUNTRY.explore()" ] @@ -283,7 +285,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "42d1f400-2063-4d39-8c3b-4ed4052281f4", "metadata": { "editable": true, @@ -295,17 +297,18 @@ "outputs": [], "source": [ "dates = (\n", - " pd.date_range(\"2023-11-01\", \"2023-11-14\", freq=\"D\").strftime(\"%Y-%m-%d\").tolist()\n", + " #pd.date_range(\"2012-11-01\", \"2023-11-14\", freq=\"D\").strftime(\"%Y-%m-%d\").tolist()\n", + " pd.date_range(\"2012-01-01\", \"2023-12-01\", freq=\"M\").strftime(\"%Y-%m\").tolist()\n", ")\n", "\n", "df = bm_extract(\n", " roi_sf=COUNTRY,\n", - " product_id=\"VNP46A2\",\n", + " product_id=\"VNP46A3\",\n", " date=dates,\n", " bearer=os.environ.get(\"BLACKMARBLE_TOKEN\"),\n", " output_location_type=\"file\",\n", - " file_dir=\"data\",\n", - " file_prefix=\"jor_\",\n", + " file_dir=\"month\",\n", + " file_prefix=\"jor0_\",\n", " aggregation_fun=[\"count\", \"mean\", \"min\", \"max\", \"median\", \"sum\"],\n", " quiet=True,\n", ")" @@ -828,7 +831,7 @@ " \n", " \n", " \n", - " 2021-12-26\n", + " 2022-01-02\n", " 24.449405\n", " 100.560509\n", " 7.354693\n", @@ -843,7 +846,7 @@ " 27.433938\n", " \n", " \n", - " 2022-01-02\n", + " 2022-01-09\n", " 75.069969\n", " 202.476405\n", " 8.505361\n", @@ -858,7 +861,7 @@ " 81.786189\n", " \n", " \n", - " 2022-01-09\n", + " 2022-01-16\n", " 73.258399\n", " 146.198091\n", " 7.302361\n", @@ -873,7 +876,7 @@ " 68.849111\n", " \n", " \n", - " 2022-01-16\n", + " 2022-01-23\n", " 66.562622\n", " 206.676547\n", " 10.440221\n", @@ -888,7 +891,7 @@ " 82.027899\n", " \n", " \n", - " 2022-01-23\n", + " 2022-01-30\n", " 50.736298\n", " 131.449640\n", " 10.701375\n", @@ -918,7 +921,7 @@ " ...\n", " \n", " \n", - " 2023-10-01\n", + " 2023-10-08\n", " 82.834816\n", " 166.543513\n", " 10.767144\n", @@ -933,7 +936,7 @@ " 78.440840\n", " \n", " \n", - " 2023-10-08\n", + " 2023-10-15\n", " 74.725720\n", " 268.089576\n", " 15.548408\n", @@ -948,7 +951,7 @@ " 79.310402\n", " \n", " \n", - " 2023-10-15\n", + " 2023-10-22\n", " 77.643016\n", " 219.769259\n", " 15.844977\n", @@ -963,7 +966,7 @@ " 105.373608\n", " \n", " \n", - " 2023-10-22\n", + " 2023-10-29\n", " 97.636910\n", " 246.901782\n", " 14.079673\n", @@ -978,7 +981,7 @@ " 107.245041\n", " \n", " \n", - " 2023-10-29\n", + " 2023-11-05\n", " 86.800853\n", " 217.892463\n", " 14.177184\n", @@ -1001,47 +1004,47 @@ " ntl_mean \\\n", "NAME_1 Ajlun Amman Aqaba Balqa Irbid \n", "date \n", - "2021-12-26 24.449405 100.560509 7.354693 69.469869 34.211491 \n", - "2022-01-02 75.069969 202.476405 8.505361 134.089928 106.841876 \n", - "2022-01-09 73.258399 146.198091 7.302361 126.774726 109.848380 \n", - "2022-01-16 66.562622 206.676547 10.440221 103.589737 101.892195 \n", - "2022-01-23 50.736298 131.449640 10.701375 110.010114 92.383724 \n", + "2022-01-02 24.449405 100.560509 7.354693 69.469869 34.211491 \n", + "2022-01-09 75.069969 202.476405 8.505361 134.089928 106.841876 \n", + "2022-01-16 73.258399 146.198091 7.302361 126.774726 109.848380 \n", + "2022-01-23 66.562622 206.676547 10.440221 103.589737 101.892195 \n", + "2022-01-30 50.736298 131.449640 10.701375 110.010114 92.383724 \n", "... ... ... ... ... ... \n", - "2023-10-01 82.834816 166.543513 10.767144 139.648121 135.710503 \n", - "2023-10-08 74.725720 268.089576 15.548408 118.383982 171.830205 \n", - "2023-10-15 77.643016 219.769259 15.844977 131.277761 182.848500 \n", - "2023-10-22 97.636910 246.901782 14.079673 149.398513 215.814159 \n", - "2023-10-29 86.800853 217.892463 14.177184 149.693422 193.366805 \n", + "2023-10-08 82.834816 166.543513 10.767144 139.648121 135.710503 \n", + "2023-10-15 74.725720 268.089576 15.548408 118.383982 171.830205 \n", + "2023-10-22 77.643016 219.769259 15.844977 131.277761 182.848500 \n", + "2023-10-29 97.636910 246.901782 14.079673 149.398513 215.814159 \n", + "2023-11-05 86.800853 217.892463 14.177184 149.693422 193.366805 \n", "\n", " \\\n", "NAME_1 Jarash Karak Ma`an Madaba Mafraq Tafilah \n", "date \n", - "2021-12-26 26.072344 32.249152 14.246122 35.418149 21.112632 17.448854 \n", - "2022-01-02 71.384097 27.261286 15.193569 25.749898 46.622935 21.710452 \n", - "2022-01-09 70.581380 22.452533 14.715774 26.129812 41.547182 10.761759 \n", - "2022-01-16 61.862660 28.897436 15.901350 22.496525 46.517104 20.465860 \n", - "2022-01-23 58.473055 22.605634 13.276547 19.787800 32.544107 15.558135 \n", + "2022-01-02 26.072344 32.249152 14.246122 35.418149 21.112632 17.448854 \n", + "2022-01-09 71.384097 27.261286 15.193569 25.749898 46.622935 21.710452 \n", + "2022-01-16 70.581380 22.452533 14.715774 26.129812 41.547182 10.761759 \n", + "2022-01-23 61.862660 28.897436 15.901350 22.496525 46.517104 20.465860 \n", + "2022-01-30 58.473055 22.605634 13.276547 19.787800 32.544107 15.558135 \n", "... ... ... ... ... ... ... \n", - "2023-10-01 72.164824 32.195193 14.636889 42.565155 46.562834 23.539344 \n", - "2023-10-08 79.998565 46.072971 22.191168 37.634376 59.277453 28.815367 \n", - "2023-10-15 88.222131 42.819114 23.521066 38.187475 60.871674 31.162284 \n", - "2023-10-22 93.072254 43.123620 24.703762 47.732346 55.785789 31.345070 \n", - "2023-10-29 93.819495 48.715216 22.026993 57.222549 67.613157 28.489876 \n", + "2023-10-08 72.164824 32.195193 14.636889 42.565155 46.562834 23.539344 \n", + "2023-10-15 79.998565 46.072971 22.191168 37.634376 59.277453 28.815367 \n", + "2023-10-22 88.222131 42.819114 23.521066 38.187475 60.871674 31.162284 \n", + "2023-10-29 93.072254 43.123620 24.703762 47.732346 55.785789 31.345070 \n", + "2023-11-05 93.819495 48.715216 22.026993 57.222549 67.613157 28.489876 \n", "\n", " \n", "NAME_1 Zarqa \n", "date \n", - "2021-12-26 27.433938 \n", - "2022-01-02 81.786189 \n", - "2022-01-09 68.849111 \n", - "2022-01-16 82.027899 \n", - "2022-01-23 51.250123 \n", + "2022-01-02 27.433938 \n", + "2022-01-09 81.786189 \n", + "2022-01-16 68.849111 \n", + "2022-01-23 82.027899 \n", + "2022-01-30 51.250123 \n", "... ... \n", - "2023-10-01 78.440840 \n", - "2023-10-08 79.310402 \n", - "2023-10-15 105.373608 \n", - "2023-10-22 107.245041 \n", - "2023-10-29 109.128964 \n", + "2023-10-08 78.440840 \n", + "2023-10-15 79.310402 \n", + "2023-10-22 105.373608 \n", + "2023-10-29 107.245041 \n", + "2023-11-05 109.128964 \n", "\n", "[97 rows x 12 columns]" ] @@ -1058,7 +1061,7 @@ "\n", "JO_1 = (\n", " df.pivot_table(index=\"date\", columns=[\"NAME_1\"], values=[VAR], aggfunc=\"mean\")\n", - " .resample(\"W\", label=\"left\")\n", + " .resample(\"W\", label=\"right\")\n", " .mean()\n", ")\n", "JO_1" @@ -1123,7 +1126,7 @@ " \n", "
\n", " \n", - " Loading BokehJS ...\n", + " Loading BokehJS ...\n", "
\n" ] }, @@ -1295,7 +1298,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"bdfedb82-2ea8-4f78-b286-8a8d470d8e30\");\n", + " const el = document.getElementById(\"f3ef0b7b-b1f3-4195-a3b2-3eeb79807da9\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -1401,7 +1404,7 @@ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", - " const cell = $(document.getElementById(\"bdfedb82-2ea8-4f78-b286-8a8d470d8e30\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"f3ef0b7b-b1f3-4195-a3b2-3eeb79807da9\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", " }\n", @@ -1417,7 +1420,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"bdfedb82-2ea8-4f78-b286-8a8d470d8e30\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.0.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"bdfedb82-2ea8-4f78-b286-8a8d470d8e30\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"f3ef0b7b-b1f3-4195-a3b2-3eeb79807da9\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.0.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"f3ef0b7b-b1f3-4195-a3b2-3eeb79807da9\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1426,7 +1429,7 @@ "data": { "text/html": [ "\n", - "
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\n" ] }, "metadata": {}, @@ -1437,8 +1440,8 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " const docs_json = {\"c5805c78-725b-4e4d-8ecb-5e01a86107f1\":{\"version\":\"3.3.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"width\":800,\"height\":700,\"sizing_mode\":\"scale_both\",\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1002\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1003\"},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1011\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1012\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1004\",\"attributes\":{\"text\":\"Jordan: Weekly Nighttime Lights 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Creation date: 14 November 2023. Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1029\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1034\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1030\"}}}]}}]}};\n", + " const render_items = [{\"docid\":\"443d96e7-307a-41f1-8be8-89ecedc21254\",\"roots\":{\"p1001\":\"e2ad038f-7c20-4858-b19c-64424c300a21\"},\"root_ids\":[\"p1001\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", @@ -1594,7 +1597,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1642,7 +1645,7 @@ "outputs": [], "source": [ "fig.tight_layout()\n", - "fig.savefig(\"jor_mean_weekly_radiance.png\", dpi=300)" + "fig.savefig(\"JOR_0-radiance-week-mean.png\", dpi=300)" ] }, { diff --git a/_sources/notebooks/nighttime-lights/nighttime-lights.ipynb b/_sources/notebooks/nighttime-lights/nighttime-lights.ipynb index 0698b71..e83d987 100644 --- a/_sources/notebooks/nighttime-lights/nighttime-lights.ipynb +++ b/_sources/notebooks/nighttime-lights/nighttime-lights.ipynb @@ -138,7 +138,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_875977aecfb4fd0ed51ed795583917f6 {\n", + " #map_4e5c3497b546b3d70ef6063a9e6a7834 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -168,14 +168,14 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_875977aecfb4fd0ed51ed795583917f6" ></div>\n", + " <div class="folium-map" id="map_4e5c3497b546b3d70ef6063a9e6a7834" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_875977aecfb4fd0ed51ed795583917f6 = L.map(\n", - " "map_875977aecfb4fd0ed51ed795583917f6",\n", + " var map_4e5c3497b546b3d70ef6063a9e6a7834 = L.map(\n", + " "map_4e5c3497b546b3d70ef6063a9e6a7834",\n", " {\n", " center: [31.4090166095001, 34.38764953600014],\n", " crs: L.CRS.EPSG3857,\n", @@ -184,77 +184,77 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_875977aecfb4fd0ed51ed795583917f6);\n", + " L.control.scale().addTo(map_4e5c3497b546b3d70ef6063a9e6a7834);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_3605694232c38f9ee0d3029ba6f083f6 = L.tileLayer(\n", + " var tile_layer_16700bda8a125b79d101e9be9bf7add0 = L.tileLayer(\n", " "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_875977aecfb4fd0ed51ed795583917f6);\n", + " ).addTo(map_4e5c3497b546b3d70ef6063a9e6a7834);\n", " \n", " \n", - " map_875977aecfb4fd0ed51ed795583917f6.fitBounds(\n", + " map_4e5c3497b546b3d70ef6063a9e6a7834.fitBounds(\n", " [[31.223606110000105, 34.22902679400016], [31.594427109000094, 34.54627227800012]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_9a1e02982826ab7d9ec43e61197b39b9_styler(feature) {\n", + " function geo_json_57af1ef640e2a2d0f6f6b6f631a04689_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_9a1e02982826ab7d9ec43e61197b39b9_highlighter(feature) {\n", + " function geo_json_57af1ef640e2a2d0f6f6b6f631a04689_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_9a1e02982826ab7d9ec43e61197b39b9_pointToLayer(feature, latlng) {\n", + " function geo_json_57af1ef640e2a2d0f6f6b6f631a04689_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_9a1e02982826ab7d9ec43e61197b39b9_styler(feature)\n", + " let style = geo_json_57af1ef640e2a2d0f6f6b6f631a04689_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_9a1e02982826ab7d9ec43e61197b39b9_onEachFeature(feature, layer) {\n", + " function geo_json_57af1ef640e2a2d0f6f6b6f631a04689_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_9a1e02982826ab7d9ec43e61197b39b9.resetStyle(e.target);\n", + " geo_json_57af1ef640e2a2d0f6f6b6f631a04689.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_9a1e02982826ab7d9ec43e61197b39b9_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_57af1ef640e2a2d0f6f6b6f631a04689_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_9a1e02982826ab7d9ec43e61197b39b9 = L.geoJson(null, {\n", - " onEachFeature: geo_json_9a1e02982826ab7d9ec43e61197b39b9_onEachFeature,\n", + " var geo_json_57af1ef640e2a2d0f6f6b6f631a04689 = L.geoJson(null, {\n", + " onEachFeature: geo_json_57af1ef640e2a2d0f6f6b6f631a04689_onEachFeature,\n", " \n", - " style: geo_json_9a1e02982826ab7d9ec43e61197b39b9_styler,\n", - " pointToLayer: geo_json_9a1e02982826ab7d9ec43e61197b39b9_pointToLayer\n", + " style: geo_json_57af1ef640e2a2d0f6f6b6f631a04689_styler,\n", + " pointToLayer: geo_json_57af1ef640e2a2d0f6f6b6f631a04689_pointToLayer\n", " });\n", "\n", - " function geo_json_9a1e02982826ab7d9ec43e61197b39b9_add (data) {\n", - " geo_json_9a1e02982826ab7d9ec43e61197b39b9\n", + " function geo_json_57af1ef640e2a2d0f6f6b6f631a04689_add (data) {\n", + " geo_json_57af1ef640e2a2d0f6f6b6f631a04689\n", " .addData(data)\n", - " .addTo(map_875977aecfb4fd0ed51ed795583917f6);\n", + " .addTo(map_4e5c3497b546b3d70ef6063a9e6a7834);\n", " }\n", - " geo_json_9a1e02982826ab7d9ec43e61197b39b9_add({"bbox": [34.22902679400016, 31.223606110000105, 34.54627227800012, 31.594427109000094], "features": [{"bbox": [34.30597305300017, 31.372600555000133, 34.415882110000155, 31.462638856000126], 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[34.30693054200009, 31.399486542000034], [34.309684754000045, 31.396917344000087], [34.311809541000116, 31.395610810000164], [34.31578445500003, 31.39388465999997], [34.32719421400003, 31.39049911600017], [34.33489227300004, 31.38765144300004], [34.34557342600016, 31.38476562500017], [34.34825134300013, 31.38376236000005], [34.35039901700003, 31.38258552500008], [34.356483459, 31.377065659000095], [34.35890960800015, 31.375257492000117], [34.36157989600008, 31.37386703400017], [34.364295960000106, 31.373163224000052], [34.370647431000066, 31.372600555000133]]], "type": "Polygon"}, "id": "3", "properties": {"CC_2": "NA", "COUNTRY": "Palestine", "ENGTYPE_2": "Governorate", "GID_0": "PSE", "GID_1": "PSE.1_1", "GID_2": "PSE.1.4_1", "HASC_2": "PS.GZ.KY", "NAME_1": "Gaza", "NAME_2": "Khan Yunis", "NL_NAME_1": "NA", "NL_NAME_2": "NA", "TYPE_2": "Governorate", "VARNAME_2": "NA"}, "type": "Feature"}, {"bbox": [34.22902679400016, 31.223606110000105, 34.32059097300015, 31.33576202400002], "geometry": {"coordinates": [[[34.268009186000086, 31.223606110000105], [34.262340545000086, 31.239746094000054], [34.23046493400017, 31.330465317999995], [34.22902679400016, 31.33430671800005], [34.22930526700003, 31.33430671800005], [34.22930526700003, 31.334583283000143], [34.229862213000104, 31.334583283000143], [34.229862213000104, 31.33486175600018], [34.23014068600014, 31.33486175600018], [34.23014068600014, 31.335138322000148], [34.23041534400011, 31.335138322000148], [34.23041534400011, 31.335416795000185], [34.230693816999974, 31.335416795000185], [34.230693816999974, 31.335695267999995], [34.23125076300005, 31.33576202400002], [34.235092163000104, 31.334268570999996], [34.238101959999995, 31.333089828000084], [34.240829467000026, 31.331464767], [34.24997329600012, 31.325531007000052], [34.256732940000006, 31.32150840800017], [34.26201629500008, 31.317554473000143], [34.26743316700009, 31.314439774000107], [34.28264999400017, 31.30684089600004], [34.292926789000035, 31.30216026400018], [34.30240631000004, 31.298530579000158], [34.305870055000184, 31.296487808000165], [34.30770492600004, 31.294584274000044], [34.30912780799997, 31.291267396000023], [34.31140899700017, 31.28265762300009], [34.31308746300016, 31.27459716800007], [34.31459808400018, 31.27003288300017], [34.316905975000054, 31.265190124000128], [34.320079804000045, 31.25949287500009], [34.32059097300015, 31.25821685800014], [34.313014984999995, 31.252599717000123], [34.268009186000086, 31.223606110000105]]], "type": "Polygon"}, "id": "4", "properties": {"CC_2": "NA", "COUNTRY": "Palestine", "ENGTYPE_2": "Governorate", "GID_0": "PSE", "GID_1": "PSE.1_1", "GID_2": "PSE.1.5_1", "HASC_2": "PS.GZ.RA", "NAME_1": "Gaza", "NAME_2": "Rafah", "NL_NAME_1": "NA", "NL_NAME_2": "NA", "TYPE_2": "Governorate", "VARNAME_2": "NA"}, "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " geo_json_9a1e02982826ab7d9ec43e61197b39b9.bindTooltip(\n", + " geo_json_57af1ef640e2a2d0f6f6b6f631a04689.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", @@ -281,7 +281,7 @@ "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -291,7 +291,9 @@ ], "source": [ "PSE = geopandas.read_file(\"../../data/boundaries/gadm41_PSE_shp/gadm41_PSE_2.shp\")\n", - "PSE[PSE[\"NAME_1\"] == \"Gaza\"].explore()" + "\n", + "ROI = PSE[PSE[\"NAME_1\"] == \"Gaza\"]\n", + "ROI.explore()" ] }, { @@ -319,7 +321,7 @@ "outputs": [], "source": [ "dates = (\n", - " pd.date_range(\"2022-01-01\", \"2023-11-14\", freq=\"D\").strftime(\"%Y-%m-%d\").tolist()\n", + " pd.date_range(\"2023-11-01\", \"2023-11-14\", freq=\"D\").strftime(\"%Y-%m-%d\").tolist()\n", ")\n", "\n", "df = bm_extract(\n", @@ -437,7 +439,7 @@ " \n", " \n", " \n", - " 2021-12-26\n", + " 2022-01-02\n", " 80.876536\n", " 135.911132\n", " 78.008197\n", @@ -445,7 +447,7 @@ " NaN\n", " \n", " \n", - " 2022-01-02\n", + " 2022-01-09\n", " 133.175823\n", " 203.156980\n", " 118.514480\n", @@ -453,7 +455,7 @@ " 225.478376\n", " \n", " \n", - " 2022-01-09\n", + " 2022-01-16\n", " 120.802306\n", " 154.040451\n", " 108.742094\n", @@ -461,7 +463,7 @@ " 218.354316\n", " \n", " \n", - " 2022-01-16\n", + " 2022-01-23\n", " 134.793033\n", " 197.818275\n", " 131.700803\n", @@ -469,7 +471,7 @@ " 201.245460\n", " \n", " \n", - " 2022-01-23\n", + " 2022-01-30\n", " 97.599245\n", " 151.641740\n", " 94.552836\n", @@ -485,15 +487,7 @@ " ...\n", " \n", " \n", - " 2023-10-01\n", - " 97.974453\n", - " 189.140499\n", - " 145.523352\n", - " 104.302415\n", - " 189.881470\n", - " \n", - " \n", - " 2023-10-08\n", + " 2023-10-15\n", " 18.601694\n", " 33.387448\n", " 20.320082\n", @@ -501,7 +495,7 @@ " 52.033815\n", " \n", " \n", - " 2023-10-15\n", + " 2023-10-22\n", " 15.493020\n", " 31.566008\n", " 22.924328\n", @@ -509,7 +503,7 @@ " 48.671099\n", " \n", " \n", - " 2023-10-22\n", + " 2023-10-29\n", " 19.406778\n", " 61.449688\n", " 30.709801\n", @@ -517,50 +511,58 @@ " 58.474931\n", " \n", " \n", - " 2023-10-29\n", + " 2023-11-05\n", " 21.139765\n", " 71.703914\n", " 39.983443\n", " 29.838535\n", " 61.242155\n", " \n", + " \n", + " 2023-11-12\n", + " 22.956522\n", + " 62.151762\n", + " 36.984674\n", + " 32.450245\n", + " 62.353791\n", + " \n", " \n", "\n", - "

97 rows × 5 columns

\n", + "

98 rows × 5 columns

\n", "" ], "text/plain": [ " ntl_mean \\\n", "NAME_2 Deir Al-Balah Gaza Gaza ash Shamaliyah Khan Yunis \n", "date \n", - "2021-12-26 80.876536 135.911132 78.008197 121.089891 \n", - "2022-01-02 133.175823 203.156980 118.514480 135.848382 \n", - "2022-01-09 120.802306 154.040451 108.742094 129.915630 \n", - "2022-01-16 134.793033 197.818275 131.700803 123.835625 \n", - "2022-01-23 97.599245 151.641740 94.552836 108.125086 \n", + "2022-01-02 80.876536 135.911132 78.008197 121.089891 \n", + "2022-01-09 133.175823 203.156980 118.514480 135.848382 \n", + "2022-01-16 120.802306 154.040451 108.742094 129.915630 \n", + "2022-01-23 134.793033 197.818275 131.700803 123.835625 \n", + "2022-01-30 97.599245 151.641740 94.552836 108.125086 \n", "... ... ... ... ... \n", - "2023-10-01 97.974453 189.140499 145.523352 104.302415 \n", - "2023-10-08 18.601694 33.387448 20.320082 26.547027 \n", - "2023-10-15 15.493020 31.566008 22.924328 18.401297 \n", - "2023-10-22 19.406778 61.449688 30.709801 27.215036 \n", - "2023-10-29 21.139765 71.703914 39.983443 29.838535 \n", + "2023-10-15 18.601694 33.387448 20.320082 26.547027 \n", + "2023-10-22 15.493020 31.566008 22.924328 18.401297 \n", + "2023-10-29 19.406778 61.449688 30.709801 27.215036 \n", + "2023-11-05 21.139765 71.703914 39.983443 29.838535 \n", + "2023-11-12 22.956522 62.151762 36.984674 32.450245 \n", "\n", " \n", "NAME_2 Rafah \n", "date \n", - "2021-12-26 NaN \n", - "2022-01-02 225.478376 \n", - "2022-01-09 218.354316 \n", - "2022-01-16 201.245460 \n", - "2022-01-23 165.917218 \n", + "2022-01-02 NaN \n", + "2022-01-09 225.478376 \n", + "2022-01-16 218.354316 \n", + "2022-01-23 201.245460 \n", + "2022-01-30 165.917218 \n", "... ... \n", - "2023-10-01 189.881470 \n", - "2023-10-08 52.033815 \n", - "2023-10-15 48.671099 \n", - "2023-10-22 58.474931 \n", - "2023-10-29 61.242155 \n", + "2023-10-15 52.033815 \n", + "2023-10-22 48.671099 \n", + "2023-10-29 58.474931 \n", + "2023-11-05 61.242155 \n", + "2023-11-12 62.353791 \n", "\n", - "[97 rows x 5 columns]" + "[98 rows x 5 columns]" ] }, "execution_count": 6, @@ -571,7 +573,7 @@ "source": [ "NTL = (\n", " df.pivot_table(values=[\"ntl_mean\"], index=\"date\", columns=[\"NAME_2\"])\n", - " .resample(\"W\", label=\"left\")\n", + " .resample(\"W\", label=\"right\")\n", " .mean()\n", ")\n", "NTL" @@ -656,44 +658,44 @@ " \n", " \n", " \n", - " 2021-12-26\n", - " -37.204006\n", - " -38.365424\n", - " -46.229746\n", - " -6.184716\n", - " NaN\n", - " \n", - " \n", " 2022-01-02\n", - " 3.403392\n", - " -7.869988\n", - " -18.309177\n", - " 5.249534\n", - " 11.442919\n", + " -36.751192\n", + " -37.946608\n", + " -45.757621\n", + " -5.942388\n", + " NaN\n", " \n", " \n", " 2022-01-09\n", - " -6.203935\n", - " -30.143928\n", - " -25.045183\n", - " 0.653091\n", - " 7.921845\n", + " 4.149022\n", + " -7.243950\n", + " -17.591900\n", + " 5.521396\n", + " 11.513687\n", " \n", " \n", " 2022-01-16\n", - " 4.659063\n", - " -10.291046\n", - " -9.219980\n", - " -4.057438\n", - " -0.534224\n", + " -5.527583\n", + " -29.669246\n", + " -24.387050\n", + " 0.913081\n", + " 7.990377\n", " \n", " \n", " 2022-01-23\n", - " -24.219781\n", - " -31.231724\n", - " -34.825694\n", - " -16.229294\n", - " -17.995245\n", + " 5.413747\n", + " -9.681461\n", + " -8.422895\n", + " -3.809616\n", + " -0.471062\n", + " \n", + " \n", + " 2022-01-30\n", + " -23.673339\n", + " -30.764433\n", + " -34.253438\n", + " -16.012912\n", + " -17.943170\n", " \n", " \n", " ...\n", @@ -704,67 +706,67 @@ " ...\n", " \n", " \n", - " 2023-10-01\n", - " -23.928454\n", - " -14.226346\n", - " 0.307762\n", - " -19.190937\n", - " -6.150888\n", + " 2023-10-15\n", + " -85.452703\n", + " -84.756183\n", + " -85.870593\n", + " -79.379369\n", + " -74.265902\n", " \n", " \n", - " 2023-10-08\n", - " -85.556851\n", - " -84.859068\n", - " -85.993575\n", - " -79.432495\n", - " -74.282234\n", + " 2023-10-22\n", + " -87.883815\n", + " -85.587804\n", + " -84.059751\n", + " -85.706634\n", + " -75.928984\n", " \n", " \n", - " 2023-10-15\n", - " -87.970558\n", - " -85.685076\n", - " -84.198495\n", - " -85.743460\n", - " -75.944259\n", + " 2023-10-29\n", + " -84.823094\n", + " -71.943714\n", + " -78.646184\n", + " -78.860488\n", + " -71.080353\n", " \n", " \n", - " 2023-10-22\n", - " -84.931750\n", - " -72.133074\n", - " -78.832047\n", - " -78.914951\n", - " -71.098705\n", + " 2023-11-05\n", + " -83.467827\n", + " -67.261908\n", + " -72.197831\n", + " -76.822662\n", + " -69.711780\n", " \n", " \n", - " 2023-10-29\n", - " -83.586185\n", - " -67.482867\n", - " -72.439821\n", - " -76.882375\n", - " -69.731002\n", + " 2023-11-12\n", + " -82.047047\n", + " -71.623166\n", + " -74.283001\n", + " -74.793994\n", + " -69.162005\n", " \n", " \n", "\n", - "

97 rows × 5 columns

\n", + "

98 rows × 5 columns

\n", "" ], "text/plain": [ " ntl_mean \n", "NAME_2 Deir Al-Balah Gaza Gaza ash Shamaliyah Khan Yunis Rafah\n", "date \n", - "2021-12-26 -37.204006 -38.365424 -46.229746 -6.184716 NaN\n", - "2022-01-02 3.403392 -7.869988 -18.309177 5.249534 11.442919\n", - "2022-01-09 -6.203935 -30.143928 -25.045183 0.653091 7.921845\n", - "2022-01-16 4.659063 -10.291046 -9.219980 -4.057438 -0.534224\n", - "2022-01-23 -24.219781 -31.231724 -34.825694 -16.229294 -17.995245\n", + "2022-01-02 -36.751192 -37.946608 -45.757621 -5.942388 NaN\n", + "2022-01-09 4.149022 -7.243950 -17.591900 5.521396 11.513687\n", + "2022-01-16 -5.527583 -29.669246 -24.387050 0.913081 7.990377\n", + "2022-01-23 5.413747 -9.681461 -8.422895 -3.809616 -0.471062\n", + "2022-01-30 -23.673339 -30.764433 -34.253438 -16.012912 -17.943170\n", "... ... ... ... ... ...\n", - "2023-10-01 -23.928454 -14.226346 0.307762 -19.190937 -6.150888\n", - "2023-10-08 -85.556851 -84.859068 -85.993575 -79.432495 -74.282234\n", - "2023-10-15 -87.970558 -85.685076 -84.198495 -85.743460 -75.944259\n", - "2023-10-22 -84.931750 -72.133074 -78.832047 -78.914951 -71.098705\n", - "2023-10-29 -83.586185 -67.482867 -72.439821 -76.882375 -69.731002\n", + "2023-10-15 -85.452703 -84.756183 -85.870593 -79.379369 -74.265902\n", + "2023-10-22 -87.883815 -85.587804 -84.059751 -85.706634 -75.928984\n", + "2023-10-29 -84.823094 -71.943714 -78.646184 -78.860488 -71.080353\n", + "2023-11-05 -83.467827 -67.261908 -72.197831 -76.822662 -69.711780\n", + "2023-11-12 -82.047047 -71.623166 -74.283001 -74.793994 -69.162005\n", "\n", - "[97 rows x 5 columns]" + "[98 rows x 5 columns]" ] }, "execution_count": 7, @@ -885,7 +887,7 @@ " \n", "
\n", " \n", - " Loading BokehJS ...\n", + " Loading BokehJS ...\n", "
\n" ] }, @@ -1057,7 +1059,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"f3fe7cf1-cd0e-4295-a2c8-8a6fa15d7ff8\");\n", + " const el = document.getElementById(\"e42f568e-570d-49f1-aa28-e154c8235386\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -1163,7 +1165,7 @@ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", - " const cell = $(document.getElementById(\"f3fe7cf1-cd0e-4295-a2c8-8a6fa15d7ff8\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"e42f568e-570d-49f1-aa28-e154c8235386\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", " }\n", @@ -1179,7 +1181,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"f3fe7cf1-cd0e-4295-a2c8-8a6fa15d7ff8\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.0.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"f3fe7cf1-cd0e-4295-a2c8-8a6fa15d7ff8\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"e42f568e-570d-49f1-aa28-e154c8235386\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.0.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"e42f568e-570d-49f1-aa28-e154c8235386\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1188,7 +1190,7 @@ "data": { "text/html": [ "\n", - "
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NASA Black Marble. Creation date: 13 November 2023. Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1422\",\"attributes\":{\"axis\":{\"id\":\"p1418\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1427\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1423\"},\"grid_line_color\":null}}]}}]}};\n", - " const render_items = [{\"docid\":\"42b7eebc-f030-4394-9b2d-535d6e49af7c\",\"roots\":{\"p1404\":\"d815d20d-436c-442e-88e4-5a9f8adeb2fc\"},\"root_ids\":[\"p1404\"]}];\n", + " const docs_json = {\"77684b32-628c-4d69-b86f-fac54a684d2e\":{\"version\":\"3.3.0\",\"title\":\"Bokeh 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@NAME_2\"],[\"rate\",\"@ntl_mean%\"]]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1429\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1430\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1431\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1432\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1433\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1434\",\"attributes\":{\"renderers\":\"auto\"}}]}},\"toolbar_location\":\"below\",\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1423\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1424\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1425\"},\"major_label_standoff\":0,\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1426\"},\"major_label_text_font_size\":\"16px\",\"axis_line_color\":null,\"major_tick_line_color\":null}}],\"right\":[{\"type\":\"object\",\"name\":\"ColorBar\",\"id\":\"p1451\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1449\",\"attributes\":{\"desired_num_ticks\":7,\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"PrintfTickFormatter\",\"id\":\"p1450\",\"attributes\":{\"format\":\"%d%%\"}},\"major_label_policy\":{\"type\":\"object\",\"name\":\"NoOverlap\",\"id\":\"p1452\"},\"padding\":50,\"major_label_text_font_size\":\"16px\",\"label_standoff\":6,\"color_mapper\":{\"id\":\"p1435\"}}}],\"above\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1418\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1419\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1420\"},\"major_label_standoff\":0,\"major_label_orientation\":1.0471975511965976,\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1421\"},\"major_label_text_font_size\":\"16px\",\"axis_line_color\":null,\"major_tick_line_color\":null}}],\"below\":[{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1448\",\"attributes\":{\"text\":\"Source: NASA Black Marble. Creation date: 14 November 2023. Feedback: datalab@worldbank.org.\",\"text_font_size\":\"10pt\",\"text_font_style\":\"italic\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1422\",\"attributes\":{\"axis\":{\"id\":\"p1418\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1427\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1423\"},\"grid_line_color\":null}}]}}]}};\n", + " const render_items = [{\"docid\":\"77684b32-628c-4d69-b86f-fac54a684d2e\",\"roots\":{\"p1404\":\"ad1ac95d-d01d-43a4-a5c7-39ad685438fd\"},\"root_ids\":[\"p1404\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", @@ -1670,7 +1672,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_809b3a9c324ee2b3eecd1176386fb42a {\n", + " #map_0dd4828f960b004447509b88b3497920 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -1700,16 +1702,16 @@ "</head>\n", "<body>\n", " \n", - " <h3 align="center" style="font-size:20px">Week of <b>2022-01-02</b></h3>\n", + " <h3 align="center" style="font-size:20px">Week of <b>2022-01-09</b></h3>\n", " \n", - " <div class="folium-map" id="map_809b3a9c324ee2b3eecd1176386fb42a" ></div>\n", + " <div class="folium-map" id="map_0dd4828f960b004447509b88b3497920" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_809b3a9c324ee2b3eecd1176386fb42a = L.map(\n", - " "map_809b3a9c324ee2b3eecd1176386fb42a",\n", + " var map_0dd4828f960b004447509b88b3497920 = L.map(\n", + " "map_0dd4828f960b004447509b88b3497920",\n", " {\n", " center: [31.4090166095001, 34.38764953600014],\n", " crs: L.CRS.EPSG3857,\n", @@ -1718,81 +1720,81 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_809b3a9c324ee2b3eecd1176386fb42a);\n", + " L.control.scale().addTo(map_0dd4828f960b004447509b88b3497920);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_c9ad703b7d10591342fa8b445ab1aeb2 = L.tileLayer(\n", + " var tile_layer_c156a2c1e8d17f9190a667d15ea4d8c6 = L.tileLayer(\n", " "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_809b3a9c324ee2b3eecd1176386fb42a);\n", + " ).addTo(map_0dd4828f960b004447509b88b3497920);\n", " \n", " \n", - " map_809b3a9c324ee2b3eecd1176386fb42a.fitBounds(\n", + " map_0dd4828f960b004447509b88b3497920.fitBounds(\n", " [[31.223606110000105, 34.22902679400016], [31.594427109000094, 34.54627227800012]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_076320ad52ebdbaac92527b80f2f3b63_styler(feature) {\n", + " function geo_json_b7dd4127a4a8697edac0c63d1367cf88_styler(feature) {\n", " switch(feature.id) {\n", " case "1": \n", - " return {"color": "#cae11f", "fillColor": "#cae11f", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#d0e11c", "fillColor": "#d0e11c", "fillOpacity": 0.5, "weight": 2};\n", " case "2": \n", - " return {"color": "#86d549", "fillColor": "#86d549", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#89d548", "fillColor": "#89d548", "fillOpacity": 0.5, "weight": 2};\n", " default:\n", " return {"color": "#fde725", "fillColor": "#fde725", "fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_076320ad52ebdbaac92527b80f2f3b63_highlighter(feature) {\n", + " function geo_json_b7dd4127a4a8697edac0c63d1367cf88_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_076320ad52ebdbaac92527b80f2f3b63_pointToLayer(feature, latlng) {\n", + " function geo_json_b7dd4127a4a8697edac0c63d1367cf88_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_076320ad52ebdbaac92527b80f2f3b63_styler(feature)\n", + " let style = geo_json_b7dd4127a4a8697edac0c63d1367cf88_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_076320ad52ebdbaac92527b80f2f3b63_onEachFeature(feature, layer) {\n", + " function geo_json_b7dd4127a4a8697edac0c63d1367cf88_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_076320ad52ebdbaac92527b80f2f3b63.resetStyle(e.target);\n", + " geo_json_b7dd4127a4a8697edac0c63d1367cf88.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_076320ad52ebdbaac92527b80f2f3b63_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_b7dd4127a4a8697edac0c63d1367cf88_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_076320ad52ebdbaac92527b80f2f3b63 = L.geoJson(null, {\n", - " onEachFeature: geo_json_076320ad52ebdbaac92527b80f2f3b63_onEachFeature,\n", + " var geo_json_b7dd4127a4a8697edac0c63d1367cf88 = L.geoJson(null, {\n", + " onEachFeature: geo_json_b7dd4127a4a8697edac0c63d1367cf88_onEachFeature,\n", " \n", - " style: geo_json_076320ad52ebdbaac92527b80f2f3b63_styler,\n", - " pointToLayer: geo_json_076320ad52ebdbaac92527b80f2f3b63_pointToLayer\n", + " style: geo_json_b7dd4127a4a8697edac0c63d1367cf88_styler,\n", + " pointToLayer: geo_json_b7dd4127a4a8697edac0c63d1367cf88_pointToLayer\n", " });\n", "\n", - " function geo_json_076320ad52ebdbaac92527b80f2f3b63_add (data) {\n", - " geo_json_076320ad52ebdbaac92527b80f2f3b63\n", + " function geo_json_b7dd4127a4a8697edac0c63d1367cf88_add (data) {\n", + " geo_json_b7dd4127a4a8697edac0c63d1367cf88\n", " .addData(data)\n", - " .addTo(map_809b3a9c324ee2b3eecd1176386fb42a);\n", + " .addTo(map_0dd4828f960b004447509b88b3497920);\n", " }\n", - " geo_json_076320ad52ebdbaac92527b80f2f3b63_add({"bbox": [34.22902679400016, 31.223606110000105, 34.54627227800012, 31.594427109000094], "features": [{"bbox": [34.30597305300017, 31.372600555000133, 34.415882110000155, 31.462638856000126], "geometry": {"coordinates": [[[34.415882110000155, 31.42720031800019], [34.40790176400009, 31.420608522000123], [34.37456893900003, 31.38384056100017], [34.370647431000066, 31.372600555000133], [34.364295960000106, 31.373163224000052], [34.36157989600008, 31.37386703400017], [34.35890960800015, 31.375257492000117], [34.356483459, 31.377065659000095], [34.35039901700003, 31.38258552500008], [34.34825134300013, 31.38376236000005], [34.34557342600016, 31.38476562500017], [34.33489227300004, 31.38765144300004], [34.32719421400003, 31.39049911600017], [34.31578445500003, 31.39388465999997], [34.311809541000116, 31.395610810000164], [34.309684754000045, 31.396917344000087], [34.30693054200009, 31.399486542000034], [34.30597305300017, 31.400417328000117], [34.30597305300017, 31.400695800999983], [34.306526184000006, 31.400695800999983], [34.306526184000006, 31.400972367000122], [34.30680465700004, 31.400972367000122], [34.30680465700004, 31.40125083999999], [34.30708313000008, 31.40125083999999], [34.30708313000008, 31.40152740500008], [34.307640075999984, 31.40152740500008], [34.307640075999984, 31.40180587800012], [34.30791854900002, 31.40180587800012], [34.30791854900002, 31.402082444000087], 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geo_json_b7dd4127a4a8697edac0c63d1367cf88.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", @@ -1816,42 +1818,42 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " var color_map_f2859cdadba538badc7dbf07d7d8688d = {};\n", + " var color_map_5322412e52ae943a8eb0f96fa4fc8d28 = {};\n", "\n", " \n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.color = d3.scale.threshold()\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.color = d3.scale.threshold()\n", " .domain([-100.0, -99.79959919839679, -99.59919839679358, -99.39879759519039, -99.19839679358718, -98.99799599198397, -98.79759519038076, -98.59719438877755, -98.39679358717434, -98.19639278557115, -97.99599198396794, -97.79559118236473, -97.59519038076152, -97.39478957915831, -97.1943887775551, -96.99398797595191, -96.7935871743487, -96.59318637274549, -96.39278557114228, -96.19238476953907, -95.99198396793587, -95.79158316633267, -95.59118236472946, -95.39078156312625, 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'#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n", " \n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.x = d3.scale.linear()\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.x = d3.scale.linear()\n", " .domain([-100.0, 0.0])\n", " .range([0, 450 - 50]);\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.legend = L.control({position: 'topright'});\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.legend.addTo(map_809b3a9c324ee2b3eecd1176386fb42a);\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.legend = L.control({position: 'topright'});\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.legend.addTo(map_0dd4828f960b004447509b88b3497920);\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.xAxis = d3.svg.axis()\n", - " .scale(color_map_f2859cdadba538badc7dbf07d7d8688d.x)\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.xAxis = d3.svg.axis()\n", + " .scale(color_map_5322412e52ae943a8eb0f96fa4fc8d28.x)\n", " .orient("top")\n", " .tickSize(1)\n", " .tickValues([-100.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -89.80392156862746, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -79.6078431372549, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -69.41176470588235, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -59.21568627450981, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -49.01960784313726, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -38.8235294117647, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -28.627450980392155, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -18.431372549019613, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -8.235294117647058, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.svg = d3.select(".legend.leaflet-control").append("svg")\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.svg = d3.select(".legend.leaflet-control").append("svg")\n", " .attr("id", 'legend')\n", " .attr("width", 450)\n", " .attr("height", 40);\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.g = color_map_f2859cdadba538badc7dbf07d7d8688d.svg.append("g")\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.g = color_map_5322412e52ae943a8eb0f96fa4fc8d28.svg.append("g")\n", " .attr("class", "key")\n", " .attr("transform", "translate(25,16)");\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.g.selectAll("rect")\n", - " .data(color_map_f2859cdadba538badc7dbf07d7d8688d.color.range().map(function(d, i) {\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.g.selectAll("rect")\n", + " .data(color_map_5322412e52ae943a8eb0f96fa4fc8d28.color.range().map(function(d, i) {\n", " return {\n", - " x0: i ? color_map_f2859cdadba538badc7dbf07d7d8688d.x(color_map_f2859cdadba538badc7dbf07d7d8688d.color.domain()[i - 1]) : color_map_f2859cdadba538badc7dbf07d7d8688d.x.range()[0],\n", - " x1: i < color_map_f2859cdadba538badc7dbf07d7d8688d.color.domain().length ? color_map_f2859cdadba538badc7dbf07d7d8688d.x(color_map_f2859cdadba538badc7dbf07d7d8688d.color.domain()[i]) : color_map_f2859cdadba538badc7dbf07d7d8688d.x.range()[1],\n", + " x0: i ? color_map_5322412e52ae943a8eb0f96fa4fc8d28.x(color_map_5322412e52ae943a8eb0f96fa4fc8d28.color.domain()[i - 1]) : color_map_5322412e52ae943a8eb0f96fa4fc8d28.x.range()[0],\n", + " x1: i < color_map_5322412e52ae943a8eb0f96fa4fc8d28.color.domain().length ? color_map_5322412e52ae943a8eb0f96fa4fc8d28.x(color_map_5322412e52ae943a8eb0f96fa4fc8d28.color.domain()[i]) : color_map_5322412e52ae943a8eb0f96fa4fc8d28.x.range()[1],\n", " z: d\n", " };\n", " }))\n", @@ -1861,7 +1863,7 @@ " .attr("width", function(d) { return d.x1 - d.x0; })\n", " .style("fill", function(d) { return d.z; });\n", "\n", - " color_map_f2859cdadba538badc7dbf07d7d8688d.g.call(color_map_f2859cdadba538badc7dbf07d7d8688d.xAxis).append("text")\n", + " color_map_5322412e52ae943a8eb0f96fa4fc8d28.g.call(color_map_5322412e52ae943a8eb0f96fa4fc8d28.xAxis).append("text")\n", " .attr("class", "caption")\n", " .attr("y", 21)\n", " .text("percent change in radiance average (%)");\n", @@ -1869,7 +1871,7 @@ "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -1934,7 +1936,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_dd93740f23ed7028ca4121ccae45f95c {\n", + " #map_ae33e0d5338fc53c2d6673f3c2328af1 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -1966,14 +1968,14 @@ " \n", " <h3 align="center" style="font-size:20px">Week of <b>2023-10-08</b></h3>\n", " \n", - " <div class="folium-map" id="map_dd93740f23ed7028ca4121ccae45f95c" ></div>\n", + " <div class="folium-map" id="map_ae33e0d5338fc53c2d6673f3c2328af1" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_dd93740f23ed7028ca4121ccae45f95c = L.map(\n", - " "map_dd93740f23ed7028ca4121ccae45f95c",\n", + " var map_ae33e0d5338fc53c2d6673f3c2328af1 = L.map(\n", + " "map_ae33e0d5338fc53c2d6673f3c2328af1",\n", " {\n", " center: [31.4090166095001, 34.38764953600014],\n", " crs: L.CRS.EPSG3857,\n", @@ -1982,85 +1984,85 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_dd93740f23ed7028ca4121ccae45f95c);\n", + " L.control.scale().addTo(map_ae33e0d5338fc53c2d6673f3c2328af1);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_7f2e7bf8360f3812d7781d0f83b20e47 = L.tileLayer(\n", + " var tile_layer_48511137c2efd57b6d8ff20bbe92afd3 = L.tileLayer(\n", " "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_dd93740f23ed7028ca4121ccae45f95c);\n", + " ).addTo(map_ae33e0d5338fc53c2d6673f3c2328af1);\n", " \n", " \n", - " map_dd93740f23ed7028ca4121ccae45f95c.fitBounds(\n", + " map_ae33e0d5338fc53c2d6673f3c2328af1.fitBounds(\n", " [[31.223606110000105, 34.22902679400016], [31.594427109000094, 34.54627227800012]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_5369e3296e58f264b1781ed55988e450_styler(feature) {\n", + " function geo_json_f23696e751cc59bfed29b67b6f7cd833_styler(feature) {\n", " switch(feature.id) {\n", " case "0": \n", - " return {"color": "#46327e", "fillColor": "#46327e", "fillOpacity": 0.5, "weight": 2};\n", - " case "2": \n", - " return {"color": "#46307e", "fillColor": "#46307e", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#67cc5c", "fillColor": "#67cc5c", "fillOpacity": 0.5, "weight": 2};\n", + " case "1": \n", + " return {"color": "#a5db36", "fillColor": "#a5db36", "fillOpacity": 0.5, "weight": 2};\n", " case "3": \n", - " return {"color": "#404588", "fillColor": "#404588", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#81d34d", "fillColor": "#81d34d", "fillOpacity": 0.5, "weight": 2};\n", " case "4": \n", - " return {"color": "#3a538b", "fillColor": "#3a538b", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#d8e219", "fillColor": "#d8e219", "fillOpacity": 0.5, "weight": 2};\n", " default:\n", - " return {"color": "#463480", "fillColor": "#463480", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#fde725", "fillColor": "#fde725", "fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_5369e3296e58f264b1781ed55988e450_highlighter(feature) {\n", + " function geo_json_f23696e751cc59bfed29b67b6f7cd833_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_5369e3296e58f264b1781ed55988e450_pointToLayer(feature, latlng) {\n", + " function geo_json_f23696e751cc59bfed29b67b6f7cd833_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_5369e3296e58f264b1781ed55988e450_styler(feature)\n", + " let style = geo_json_f23696e751cc59bfed29b67b6f7cd833_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_5369e3296e58f264b1781ed55988e450_onEachFeature(feature, layer) {\n", + " function geo_json_f23696e751cc59bfed29b67b6f7cd833_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_5369e3296e58f264b1781ed55988e450.resetStyle(e.target);\n", + " geo_json_f23696e751cc59bfed29b67b6f7cd833.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_5369e3296e58f264b1781ed55988e450_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_f23696e751cc59bfed29b67b6f7cd833_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_5369e3296e58f264b1781ed55988e450 = L.geoJson(null, {\n", - " onEachFeature: geo_json_5369e3296e58f264b1781ed55988e450_onEachFeature,\n", + " var geo_json_f23696e751cc59bfed29b67b6f7cd833 = L.geoJson(null, {\n", + " onEachFeature: geo_json_f23696e751cc59bfed29b67b6f7cd833_onEachFeature,\n", " \n", - " style: geo_json_5369e3296e58f264b1781ed55988e450_styler,\n", - " pointToLayer: geo_json_5369e3296e58f264b1781ed55988e450_pointToLayer\n", + " style: geo_json_f23696e751cc59bfed29b67b6f7cd833_styler,\n", + " pointToLayer: geo_json_f23696e751cc59bfed29b67b6f7cd833_pointToLayer\n", " });\n", "\n", - " function geo_json_5369e3296e58f264b1781ed55988e450_add (data) {\n", - " geo_json_5369e3296e58f264b1781ed55988e450\n", + " function geo_json_f23696e751cc59bfed29b67b6f7cd833_add (data) {\n", + " geo_json_f23696e751cc59bfed29b67b6f7cd833\n", " .addData(data)\n", - " .addTo(map_dd93740f23ed7028ca4121ccae45f95c);\n", + " .addTo(map_ae33e0d5338fc53c2d6673f3c2328af1);\n", " }\n", - " geo_json_5369e3296e58f264b1781ed55988e450_add({"bbox": [34.22902679400016, 31.223606110000105, 34.54627227800012, 31.594427109000094], "features": [{"bbox": [34.30597305300017, 31.372600555000133, 34.415882110000155, 31.462638856000126], "geometry": {"coordinates": [[[34.415882110000155, 31.42720031800019], [34.40790176400009, 31.420608522000123], [34.37456893900003, 31.38384056100017], [34.370647431000066, 31.372600555000133], [34.364295960000106, 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geo_json_f23696e751cc59bfed29b67b6f7cd833.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", @@ -2084,42 +2086,42 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " var color_map_e654b3f941521b4e6f4674cc5a12cd9c = {};\n", + " var color_map_34663dcd73ae06f3debf04fc4aea4c50 = {};\n", "\n", " \n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.color = d3.scale.threshold()\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.color = d3.scale.threshold()\n", " .domain([-100.0, -99.79959919839679, -99.59919839679358, -99.39879759519039, -99.19839679358718, -98.99799599198397, -98.79759519038076, -98.59719438877755, -98.39679358717434, -98.19639278557115, -97.99599198396794, -97.79559118236473, -97.59519038076152, -97.39478957915831, -97.1943887775551, -96.99398797595191, -96.7935871743487, -96.59318637274549, -96.39278557114228, -96.19238476953907, -95.99198396793587, -95.79158316633267, -95.59118236472946, -95.39078156312625, 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'#85d54aff', '#86d549ff', '#88d548ff', '#89d548ff', '#8ad647ff', '#8bd646ff', '#8dd645ff', '#8ed645ff', '#8fd744ff', '#90d743ff', '#92d742ff', '#93d741ff', '#94d840ff', '#96d83fff', '#97d83eff', '#99d93dff', '#9ad93cff', '#9bd93cff', '#9dd93bff', '#9eda3aff', '#9fda39ff', '#a1da38ff', '#a2da37ff', '#a3db36ff', '#a4db36ff', '#a6db35ff', '#a8db34ff', '#a9dc33ff', '#aadc32ff', '#abdc31ff', '#addc30ff', '#aedd2fff', '#b0dd2fff', '#b1dd2eff', '#b2dd2dff', '#b3de2cff', '#b5de2bff', '#b6de2aff', '#b8de29ff', '#b9de28ff', '#bade28ff', '#bcdf27ff', '#bddf26ff', '#bfdf25ff', '#c0df25ff', '#c1df24ff', '#c2df23ff', '#c4e022ff', '#c5e021ff', '#c7e020ff', '#c8e020ff', '#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n", " \n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.x = d3.scale.linear()\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.x = d3.scale.linear()\n", " .domain([-100.0, 0.0])\n", " .range([0, 450 - 50]);\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.legend = L.control({position: 'topright'});\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.legend.addTo(map_dd93740f23ed7028ca4121ccae45f95c);\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.legend = L.control({position: 'topright'});\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.legend.addTo(map_ae33e0d5338fc53c2d6673f3c2328af1);\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.xAxis = d3.svg.axis()\n", - " .scale(color_map_e654b3f941521b4e6f4674cc5a12cd9c.x)\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.xAxis = d3.svg.axis()\n", + " .scale(color_map_34663dcd73ae06f3debf04fc4aea4c50.x)\n", " .orient("top")\n", " .tickSize(1)\n", " .tickValues([-100.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -89.80392156862746, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -79.6078431372549, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -69.41176470588235, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -59.21568627450981, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -49.01960784313726, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -38.8235294117647, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -28.627450980392155, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -18.431372549019613, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -8.235294117647058, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.svg = d3.select(".legend.leaflet-control").append("svg")\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.svg = d3.select(".legend.leaflet-control").append("svg")\n", " .attr("id", 'legend')\n", " .attr("width", 450)\n", " .attr("height", 40);\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.g = color_map_e654b3f941521b4e6f4674cc5a12cd9c.svg.append("g")\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.g = color_map_34663dcd73ae06f3debf04fc4aea4c50.svg.append("g")\n", " .attr("class", "key")\n", " .attr("transform", "translate(25,16)");\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.g.selectAll("rect")\n", - " .data(color_map_e654b3f941521b4e6f4674cc5a12cd9c.color.range().map(function(d, i) {\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.g.selectAll("rect")\n", + " .data(color_map_34663dcd73ae06f3debf04fc4aea4c50.color.range().map(function(d, i) {\n", " return {\n", - " x0: i ? color_map_e654b3f941521b4e6f4674cc5a12cd9c.x(color_map_e654b3f941521b4e6f4674cc5a12cd9c.color.domain()[i - 1]) : color_map_e654b3f941521b4e6f4674cc5a12cd9c.x.range()[0],\n", - " x1: i < color_map_e654b3f941521b4e6f4674cc5a12cd9c.color.domain().length ? color_map_e654b3f941521b4e6f4674cc5a12cd9c.x(color_map_e654b3f941521b4e6f4674cc5a12cd9c.color.domain()[i]) : color_map_e654b3f941521b4e6f4674cc5a12cd9c.x.range()[1],\n", + " x0: i ? color_map_34663dcd73ae06f3debf04fc4aea4c50.x(color_map_34663dcd73ae06f3debf04fc4aea4c50.color.domain()[i - 1]) : color_map_34663dcd73ae06f3debf04fc4aea4c50.x.range()[0],\n", + " x1: i < color_map_34663dcd73ae06f3debf04fc4aea4c50.color.domain().length ? color_map_34663dcd73ae06f3debf04fc4aea4c50.x(color_map_34663dcd73ae06f3debf04fc4aea4c50.color.domain()[i]) : color_map_34663dcd73ae06f3debf04fc4aea4c50.x.range()[1],\n", " z: d\n", " };\n", " }))\n", @@ -2129,7 +2131,7 @@ " .attr("width", function(d) { return d.x1 - d.x0; })\n", " .style("fill", function(d) { return d.z; });\n", "\n", - " color_map_e654b3f941521b4e6f4674cc5a12cd9c.g.call(color_map_e654b3f941521b4e6f4674cc5a12cd9c.xAxis).append("text")\n", + " color_map_34663dcd73ae06f3debf04fc4aea4c50.g.call(color_map_34663dcd73ae06f3debf04fc4aea4c50.xAxis).append("text")\n", " .attr("class", "caption")\n", " .attr("y", 21)\n", " .text("percent change in radiance average (%)");\n", @@ -2137,7 +2139,7 @@ "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -2202,7 +2204,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_2248a8380b652ec76903b2c6f3af61c1 {\n", + " #map_3f2ca2bc8e67c3f8c35cc6663007b6dd {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -2232,16 +2234,16 @@ "</head>\n", "<body>\n", " \n", - " <h3 align="center" style="font-size:20px">Week of <b>2023-10-29</b></h3>\n", + " <h3 align="center" style="font-size:20px">Week of <b>2023-11-12</b></h3>\n", " \n", - " <div class="folium-map" id="map_2248a8380b652ec76903b2c6f3af61c1" ></div>\n", + " <div class="folium-map" id="map_3f2ca2bc8e67c3f8c35cc6663007b6dd" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_2248a8380b652ec76903b2c6f3af61c1 = L.map(\n", - " "map_2248a8380b652ec76903b2c6f3af61c1",\n", + " var map_3f2ca2bc8e67c3f8c35cc6663007b6dd = L.map(\n", + " "map_3f2ca2bc8e67c3f8c35cc6663007b6dd",\n", " {\n", " center: [31.4090166095001, 34.38764953600014],\n", " crs: L.CRS.EPSG3857,\n", @@ -2250,85 +2252,85 @@ " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_2248a8380b652ec76903b2c6f3af61c1);\n", + " L.control.scale().addTo(map_3f2ca2bc8e67c3f8c35cc6663007b6dd);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_e1bdfa93fb8794214c331bf15ffcc218 = L.tileLayer(\n", + " var tile_layer_961e3b8e4c800b29575f499e10aece87 = L.tileLayer(\n", " "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_2248a8380b652ec76903b2c6f3af61c1);\n", + " ).addTo(map_3f2ca2bc8e67c3f8c35cc6663007b6dd);\n", " \n", " \n", - " map_2248a8380b652ec76903b2c6f3af61c1.fitBounds(\n", + " map_3f2ca2bc8e67c3f8c35cc6663007b6dd.fitBounds(\n", " [[31.223606110000105, 34.22902679400016], [31.594427109000094, 34.54627227800012]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_64113cf6cb83d18043258a22db4b0cff_styler(feature) {\n", + " function geo_json_33cec5c84ab56352bbfa77c19da8914c_styler(feature) {\n", " switch(feature.id) {\n", " case "1": \n", - " return {"color": "#31668e", "fillColor": "#31668e", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#375b8d", "fillColor": "#375b8d", "fillOpacity": 0.5, "weight": 2};\n", " case "2": \n", - " return {"color": "#38598c", "fillColor": "#38598c", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#3a538b", "fillColor": "#3a538b", "fillOpacity": 0.5, "weight": 2};\n", " case "3": \n", - " return {"color": "#3d4d8a", "fillColor": "#3d4d8a", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#3b528b", "fillColor": "#3b528b", "fillOpacity": 0.5, "weight": 2};\n", " case "4": \n", - " return {"color": "#34608d", "fillColor": "#34608d", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#34618d", "fillColor": "#34618d", "fillOpacity": 0.5, "weight": 2};\n", " default:\n", - " return {"color": "#443983", "fillColor": "#443983", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#433d84", "fillColor": "#433d84", "fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_64113cf6cb83d18043258a22db4b0cff_highlighter(feature) {\n", + " function geo_json_33cec5c84ab56352bbfa77c19da8914c_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_64113cf6cb83d18043258a22db4b0cff_pointToLayer(feature, latlng) {\n", + " function geo_json_33cec5c84ab56352bbfa77c19da8914c_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_64113cf6cb83d18043258a22db4b0cff_styler(feature)\n", + " let style = geo_json_33cec5c84ab56352bbfa77c19da8914c_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_64113cf6cb83d18043258a22db4b0cff_onEachFeature(feature, layer) {\n", + " function geo_json_33cec5c84ab56352bbfa77c19da8914c_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_64113cf6cb83d18043258a22db4b0cff.resetStyle(e.target);\n", + " geo_json_33cec5c84ab56352bbfa77c19da8914c.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_64113cf6cb83d18043258a22db4b0cff_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_33cec5c84ab56352bbfa77c19da8914c_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_64113cf6cb83d18043258a22db4b0cff = L.geoJson(null, {\n", - " onEachFeature: geo_json_64113cf6cb83d18043258a22db4b0cff_onEachFeature,\n", + " var geo_json_33cec5c84ab56352bbfa77c19da8914c = L.geoJson(null, {\n", + " onEachFeature: geo_json_33cec5c84ab56352bbfa77c19da8914c_onEachFeature,\n", " \n", - " style: geo_json_64113cf6cb83d18043258a22db4b0cff_styler,\n", - " pointToLayer: geo_json_64113cf6cb83d18043258a22db4b0cff_pointToLayer\n", + " style: geo_json_33cec5c84ab56352bbfa77c19da8914c_styler,\n", + " pointToLayer: geo_json_33cec5c84ab56352bbfa77c19da8914c_pointToLayer\n", " });\n", "\n", - " function geo_json_64113cf6cb83d18043258a22db4b0cff_add (data) {\n", - " geo_json_64113cf6cb83d18043258a22db4b0cff\n", + " function geo_json_33cec5c84ab56352bbfa77c19da8914c_add (data) {\n", + " geo_json_33cec5c84ab56352bbfa77c19da8914c\n", " .addData(data)\n", - " .addTo(map_2248a8380b652ec76903b2c6f3af61c1);\n", + " .addTo(map_3f2ca2bc8e67c3f8c35cc6663007b6dd);\n", " }\n", - " geo_json_64113cf6cb83d18043258a22db4b0cff_add({"bbox": [34.22902679400016, 31.223606110000105, 34.54627227800012, 31.594427109000094], "features": [{"bbox": [34.30597305300017, 31.372600555000133, 34.415882110000155, 31.462638856000126], "geometry": {"coordinates": [[[34.415882110000155, 31.42720031800019], [34.40790176400009, 31.420608522000123], [34.37456893900003, 31.38384056100017], [34.370647431000066, 31.372600555000133], [34.364295960000106, 31.373163224000052], [34.36157989600008, 31.37386703400017], [34.35890960800015, 31.375257492000117], [34.356483459, 31.377065659000095], [34.35039901700003, 31.38258552500008], [34.34825134300013, 31.38376236000005], [34.34557342600016, 31.38476562500017], [34.33489227300004, 31.38765144300004], [34.32719421400003, 31.39049911600017], [34.31578445500003, 31.39388465999997], [34.311809541000116, 31.395610810000164], [34.309684754000045, 31.396917344000087], [34.30693054200009, 31.399486542000034], [34.30597305300017, 31.400417328000117], [34.30597305300017, 31.400695800999983], [34.306526184000006, 31.400695800999983], [34.306526184000006, 31.400972367000122], [34.30680465700004, 31.400972367000122], [34.30680465700004, 31.40125083999999], [34.30708313000008, 31.40125083999999], [34.30708313000008, 31.40152740500008], [34.307640075999984, 31.40152740500008], [34.307640075999984, 31.40180587800012], 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31.41180610700019], [34.319862366000166, 31.412084580000055], [34.32013702400019, 31.412084580000055], [34.32013702400019, 31.41236114500009], [34.320415497, 31.41236114500009], [34.320415497, 31.412639618000128], [34.320693970000036, 31.412639618000128], [34.320693970000036, 31.412916184000096], [34.32125091600011, 31.412916184000096], [34.32125091600011, 31.413194657000133], [34.32152938899998, 31.413194657000133], [34.32152938899998, 31.41347313000017], [34.32180404700017, 31.41347313000017], [34.32180404700017, 31.413749695000035], [34.32208252000004, 31.413749695000035], [34.32208252000004, 31.414028168000073], [34.322360993000075, 31.414028168000073], [34.322360993000075, 31.41430664100011], [34.32263946600011, 31.41430664100011], [34.32263946600011, 31.414583207000078], [34.32291793900015, 31.414583207000078], [34.32291793900015, 31.414861680000115], [34.32347107000015, 31.414861680000115], [34.32347107000015, 31.415138245000037], [34.32374954300019, 31.415138245000037], 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geo_json_33cec5c84ab56352bbfa77c19da8914c.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", @@ -2352,42 +2354,42 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " var color_map_0e733c92e9ca47a749161fb6104db76f = {};\n", + " var color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8 = {};\n", "\n", " \n", - " color_map_0e733c92e9ca47a749161fb6104db76f.color = d3.scale.threshold()\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.color = d3.scale.threshold()\n", " .domain([-100.0, -99.79959919839679, -99.59919839679358, -99.39879759519039, -99.19839679358718, -98.99799599198397, -98.79759519038076, -98.59719438877755, -98.39679358717434, -98.19639278557115, -97.99599198396794, -97.79559118236473, -97.59519038076152, -97.39478957915831, -97.1943887775551, -96.99398797595191, -96.7935871743487, -96.59318637274549, -96.39278557114228, -96.19238476953907, -95.99198396793587, -95.79158316633267, -95.59118236472946, -95.39078156312625, 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'#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n", " \n", "\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.x = d3.scale.linear()\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x = d3.scale.linear()\n", " .domain([-100.0, 0.0])\n", " .range([0, 450 - 50]);\n", "\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.legend = L.control({position: 'topright'});\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.legend.addTo(map_2248a8380b652ec76903b2c6f3af61c1);\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.legend = L.control({position: 'topright'});\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.legend.addTo(map_3f2ca2bc8e67c3f8c35cc6663007b6dd);\n", "\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.xAxis = d3.svg.axis()\n", - " .scale(color_map_0e733c92e9ca47a749161fb6104db76f.x)\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.xAxis = d3.svg.axis()\n", + " .scale(color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x)\n", " .orient("top")\n", " .tickSize(1)\n", " .tickValues([-100.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -89.80392156862746, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -79.6078431372549, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -69.41176470588235, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', -59.21568627450981, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 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color_map_0e733c92e9ca47a749161fb6104db76f.svg.append("g")\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.g = color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.svg.append("g")\n", " .attr("class", "key")\n", " .attr("transform", "translate(25,16)");\n", "\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.g.selectAll("rect")\n", - " .data(color_map_0e733c92e9ca47a749161fb6104db76f.color.range().map(function(d, i) {\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.g.selectAll("rect")\n", + " .data(color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.color.range().map(function(d, i) {\n", " return {\n", - " x0: i ? color_map_0e733c92e9ca47a749161fb6104db76f.x(color_map_0e733c92e9ca47a749161fb6104db76f.color.domain()[i - 1]) : color_map_0e733c92e9ca47a749161fb6104db76f.x.range()[0],\n", - " x1: i < color_map_0e733c92e9ca47a749161fb6104db76f.color.domain().length ? color_map_0e733c92e9ca47a749161fb6104db76f.x(color_map_0e733c92e9ca47a749161fb6104db76f.color.domain()[i]) : color_map_0e733c92e9ca47a749161fb6104db76f.x.range()[1],\n", + " x0: i ? color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x(color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.color.domain()[i - 1]) : color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x.range()[0],\n", + " x1: i < color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.color.domain().length ? color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x(color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.color.domain()[i]) : color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.x.range()[1],\n", " z: d\n", " };\n", " }))\n", @@ -2397,7 +2399,7 @@ " .attr("width", function(d) { return d.x1 - d.x0; })\n", " .style("fill", function(d) { return d.z; });\n", "\n", - " color_map_0e733c92e9ca47a749161fb6104db76f.g.call(color_map_0e733c92e9ca47a749161fb6104db76f.xAxis).append("text")\n", + " color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.g.call(color_map_fb62eb12d4fbe1861f0370d6d0f1b7f8.xAxis).append("text")\n", " .attr("class", "caption")\n", " .attr("y", 21)\n", " .text("percent change in radiance average (%)");\n", @@ -2405,7 +2407,7 @@ "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 18, diff --git a/notebooks/nighttime-lights/nighttime-lights-in-jordan.html b/notebooks/nighttime-lights/nighttime-lights-in-jordan.html index 2d51dbf..57684e5 100644 --- a/notebooks/nighttime-lights/nighttime-lights-in-jordan.html +++ b/notebooks/nighttime-lights/nighttime-lights-in-jordan.html @@ -439,7 +439,7 @@

Define Region of Interest 
COUNTRY = GADMDownloader(version="4.0").get_shape_data_by_country_name(
-    country_name="Jordan", ad_level=2
+    country_name="Jordan", ad_level=0
 )
 COUNTRY.explore()
@@ -474,7 +474,7 @@

Define Region of Interest 
dates = (
-    pd.date_range("2023-11-01", "2023-11-14", freq="D").strftime("%Y-%m-%d").tolist()
+    #pd.date_range("2012-11-01", "2023-11-14", freq="D").strftime("%Y-%m-%d").tolist()
+    pd.date_range("2012-01-01", "2023-12-01", freq="M").strftime("%Y-%m").tolist()
 )
 
 df = bm_extract(
     roi_sf=COUNTRY,
-    product_id="VNP46A2",
+    product_id="VNP46A3",
     date=dates,
     bearer=os.environ.get("BLACKMARBLE_TOKEN"),
     output_location_type="file",
-    file_dir="data",
-    file_prefix="jor_",
+    file_dir="month",
+    file_prefix="jor0_",
     aggregation_fun=["count", "mean", "min", "max", "median", "sum"],
     quiet=True,
 )
@@ -975,7 +976,7 @@ 
Aggregate by me
 
 JO_1 = (
     df.pivot_table(index="date", columns=["NAME_1"], values=[VAR], aggfunc="mean")
-    .resample("W", label="left")
+    .resample("W", label="right")
     .mean()
 )
 JO_1
@@ -1041,7 +1042,7 @@ 
Aggregate by me
   
   
     
-      2021-12-26
+      2022-01-02
       24.449405
       100.560509
       7.354693
@@ -1056,7 +1057,7 @@ 
Aggregate by me
       27.433938
     
     
-      2022-01-02
+      2022-01-09
       75.069969
       202.476405
       8.505361
@@ -1071,7 +1072,7 @@ 
Aggregate by me
       81.786189
     
     
-      2022-01-09
+      2022-01-16
       73.258399
       146.198091
       7.302361
@@ -1086,7 +1087,7 @@ 
Aggregate by me
       68.849111
     
     
-      2022-01-16
+      2022-01-23
       66.562622
       206.676547
       10.440221
@@ -1101,7 +1102,7 @@ 
Aggregate by me
       82.027899
     
     
-      2022-01-23
+      2022-01-30
       50.736298
       131.449640
       10.701375
@@ -1131,7 +1132,7 @@ 
Aggregate by me
       ...
     
     
-      2023-10-01
+      2023-10-08
       82.834816
       166.543513
       10.767144
@@ -1146,7 +1147,7 @@ 
Aggregate by me
       78.440840
     
     
-      2023-10-08
+      2023-10-15
       74.725720
       268.089576
       15.548408
@@ -1161,7 +1162,7 @@ 
Aggregate by me
       79.310402
     
     
-      2023-10-15
+      2023-10-22
       77.643016
       219.769259
       15.844977
@@ -1176,7 +1177,7 @@ 
Aggregate by me
       105.373608
     
     
-      2023-10-22
+      2023-10-29
       97.636910
       246.901782
       14.079673
@@ -1191,7 +1192,7 @@ 
Aggregate by me
       107.245041
     
     
-      2023-10-29
+      2023-11-05
       86.800853
       217.892463
       14.177184
@@ -1290,7 +1291,7 @@ 
Aggregate by me
     
     

         
-        Loading BokehJS ...
+        Loading BokehJS ...
-
+
-
+