From 923bf6fd018975f6dd553c4a7a162a7da70398ed Mon Sep 17 00:00:00 2001 From: Gabriel Stefanini Vicente Date: Wed, 17 Jan 2024 18:12:45 -0500 Subject: [PATCH] Proofreading --- README.md | 6 +- CONTRIBUTING.md => docs/CONTRIBUTING.md | 0 docs/_config.yml | 5 +- docs/data.md | 6 +- .../nighttime-lights/R_nighttime-lights.ipynb | 489 ++++++++++++++++++ 5 files changed, 500 insertions(+), 6 deletions(-) rename CONTRIBUTING.md => docs/CONTRIBUTING.md (100%) create mode 100644 notebooks/nighttime-lights/R_nighttime-lights.ipynb diff --git a/README.md b/README.md index 300c763..f6b3340 100644 --- a/README.md +++ b/README.md @@ -11,11 +11,9 @@ Datasets and methods used to generate insights for this project have been prepar ```{tableofcontents} ``` -## Data +## Contributing -### Data Availability Statement - -Restrictions may apply to the data that support the findings of this study. Data received from the private sector through the Development Data Partnership are subject to the terms and conditions of the data license agreement and the "Official Use Only" data classification. These data are available upon request through the [Development Data Partnership](https://datapartnership.org). Licensing and access information for all other datasets are included in the documentation. +Contributions are welcome! If you’d like to contribute, please follow our [contribution guidelines](docs/CONTRIBUTING). ## License diff --git a/CONTRIBUTING.md b/docs/CONTRIBUTING.md similarity index 100% rename from CONTRIBUTING.md rename to docs/CONTRIBUTING.md diff --git a/docs/_config.yml b/docs/_config.yml index e8c3fef..efad05d 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -19,7 +19,10 @@ html: baseurl: https://worldbank.github.io/https://github.com/datapartnership/gaza-israel-conflict-impact-analysis extra_footer: |
- All content (unless otherwise specified) is subject to the World Bank Master Community License Agreement. + Country borders or names do not necessarily reflect the World Bank Group’s official position. All maps are for illustrative purposes and do not imply the expression of any opinion on the part of the World Bank, concerning the legal status of any country or territory or concerning the delimitation of frontiers or boundaries +
+
+ All content (unless otherwise specified) is subject to the Mozilla Public License.
####################################################################################### diff --git a/docs/data.md b/docs/data.md index 7b7420f..16e3efa 100644 --- a/docs/data.md +++ b/docs/data.md @@ -14,7 +14,7 @@ Following is list of all Datasets used in this Data Good: Where feasible, all datasets that can be obtained through the Development Data Hub have been placed in a special collection: *forthcoming* -All the datasets and data product images are placed in a [SharePoint folder]([Continue](https://worldbankgroup.sharepoint.com.mcas.ms/teams/DevelopmentDataPartnershipCommunity-WBGroup/Shared%20Documents/Forms/AllItems.aspx?csf=1&web=1&e=Yvwh8r&cid=fccdf23e%2D94d5%2D48bf%2Db75d%2D0af291138bde&FolderCTID=0x012000CFAB9FF0F938A64EBB297E7E16BDFCFD&id=%2Fteams%2FDevelopmentDataPartnershipCommunity%2DWBGroup%2FShared%20Documents%2FProjects%2FData%20Lab%2FGaza%20Israel%20Conflict%20Impact%20Analysis&viewid=80cdadb3%2D8bb3%2D47ae%2D8b18%2Dc1dd89c373c5)) and access is given to the teams. +All the datasets and data product images are placed in a [SharePoint folder]([Continue](https://worldbankgroup.sharepoint.com.mcas.ms/teams/DevelopmentDataPartnershipCommunity-WBGroup/Shared%20Documents/Forms/AllItems.aspx?csf=1&web=1&e=Yvwh8r&cid=fccdf23e%2D94d5%2D48bf%2Db75d%2D0af291138bde&FolderCTID=0x012000CFAB9FF0F938A64EBB297E7E16BDFCFD&id=%2Fteams%2FDevelopmentDataPartnershipCommunity%2DWBGroup%2FShared%20Documents%2FProjects%2FData%20Lab%2FGaza%20Israel%20Conflict%20Impact%20Analysis&viewid=80cdadb3%2D8bb3%2D47ae%2D8b18%2Dc1dd89c373c5)) and access is given to the teams. | ID | Name | License | Description | Update Frequency | Access | Contact | | --- | ------------------------------------------------- | --------------------------------------- | ------------------------------------------------------------------ | -------------------------------------------- | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- | @@ -25,6 +25,10 @@ All the datasets and data product images are placed in a [SharePoint folder]([Co | 5 | OpenStreetMaps | Open | Points of Interest | N/A | [HdX](https://data.humdata.org/search?q=palestine&ext_search_source=main-nav) | [Data Lab](mailto:datalab@worldbank.org) | | 6 | Microsoft Building Footprints | Open | Building Footprints | N/A | [GitHub](https://github.com/microsoft/GlobalMLBuildingFootprints) | [Data Lab](mailto:datalab@worldbank.org) | +### Data Availability Statement + +Restrictions may apply to the data that support the findings of this study. Data received from the private sector through the Development Data Partnership are subject to the terms and conditions of the data license agreement and the "Official Use Only" data classification. These data are available upon request through the [Development Data Partnership](https://datapartnership.org). Licensing and access information for all other datasets are included in the documentation. + ## Data Products Summary **Data Products** are produced using the **Datasets** and can be further used to generate indicators and insights. All Data Products include documentation, references to original data sources (and/or information on how to access them), and a description of their limitations. diff --git a/notebooks/nighttime-lights/R_nighttime-lights.ipynb b/notebooks/nighttime-lights/R_nighttime-lights.ipynb new file mode 100644 index 0000000..b2cec7d --- /dev/null +++ b/notebooks/nighttime-lights/R_nighttime-lights.ipynb @@ -0,0 +1,489 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "241ca5a0-2aa5-4c9e-b378-6f3173c87cd9", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "# Gaza-Israel Conflict" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "45b41629-816c-4b6d-a40a-ff4dbe83fc99", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#install.packages(\"devtools\")\n", + "\n", + "#install.packages(\"terra\", type = \"source\", configure.args = \"--with-proj-lib=$(brew --prefix)/lib/\")\n", + "#install.packages(\"units\", type = \"source\", configure.args = \"--with-proj-lib=$(brew --prefix)/lib/\")\n", + "#install.packages(\"geodata\")\n", + "#install.packages(\"gadm\")\n", + "\n", + "# The easiest way to get ggplot2 is to install the whole tidyverse:\n", + "#install.packages(\"tidyverse\")\n", + "\n", + "# Alternatively, install just ggplot2:\n", + "#install.packages(\"ggplot2\")\n", + "\n", + "#remotes::install_github(\"ramarty/blackmarbler\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f8bc53c-d552-4a50-ba11-9444eeb21eef", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#sessionInfo()\n", + "#.libPaths()\n", + "#.Library" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "8e68abd5-a506-49a6-89be-e5a6d79c9b93", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#### Setup\n", + "# Load packages\n", + "library(blackmarbler)\n", + "library(raster)\n", + "library(ggplot2)\n", + "library(geodata)\n", + "library(tidyverse)\n", + "library(sf)\n", + "library(lubridate, warn.conflicts = FALSE)\n", + "\n", + "#### Define NASA bearer token\n", + "bearer <- \"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJBUFMgT0F1dGgyIEF1dGhlbnRpY2F0b3IiLCJpYXQiOjE2OTgyNTA5MzIsIm5iZiI6MTY5ODI1MDkzMiwiZXhwIjoxODU1OTMwOTMyLCJ1aWQiOiJnNGJyaWVsdnMiLCJlbWFpbF9hZGRyZXNzIjoiZ2FicmllbHVzdmljZW50ZUBnbWFpbC5jb20iLCJ0b2tlbkNyZWF0b3IiOiJnNGJyaWVsdnMifQ.AclOfQTawIfEB14KAFmWAUB7-LCC0cPrXFYoaH6gSVk\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de15709b-1677-4064-94f6-8fd9dc3f2e0a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "### ROI\n", + "# Define region of interest (roi). The roi must be (1) an sf polygon and (2)\n", + "# in the WGS84 (epsg:4326) coordinate reference system. Here, we use the \n", + "# getData function to load a polygon of Ghana\n", + "roi_sf <- gadm(country = \"PSE\", level=2, path = tempdir()) %>% st_as_sf()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5f8281d9-aded-4ad3-9ed9-7f55af83cd26", + "metadata": {}, + "outputs": [], + "source": [ + "#roi_sf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f6b2e05-7d11-4037-859f-d3d32bf01098", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "### Daily data: raster for February 5, 2021\n", + "r_20210205 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A2\",\n", + " date = \"2021-02-05\",\n", + " bearer = bearer)\n", + "\n", + "### Monthly data: raster for October 2021\n", + "r_202110 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A3\",\n", + " date = \"2021-10-01\", # The day is ignored\n", + " bearer = bearer)\n", + "\n", + "### Annual data: raster for 2021\n", + "r_2021 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A4\",\n", + " date = 2021,\n", + " bearer = bearer)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8119037-8edb-4ec5-a855-a2f2a6749b27", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "### Daily data: raster for February 5, 2021\n", + "r_20210205 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A2\",\n", + " date = \"2021-02-05\",\n", + " bearer = bearer)\n", + "\n", + "### Monthly data: raster for October 2021\n", + "r_202110 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A3\",\n", + " date = \"2021-10-01\", # The day is ignored\n", + " bearer = bearer)\n", + "\n", + "### Annual data: raster for 2021\n", + "r_2021 <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A4\",\n", + " date = 2021,\n", + " bearer = bearer) #### Daily data in March 2021\n", + "r_daily <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A3\",\n", + " date = seq.Date(from = ymd(\"2021-03-01\"), to = ymd(\"2021-03-31\"), by = \"day\"),\n", + " bearer = bearer)\n", + "\n", + "#### Monthly aggregated data in 2021 and 2022\n", + "r_monthly <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A3\",\n", + " date = seq.Date(from = ymd(\"2021-01-01\"), to = ymd(\"2022-12-01\"), by = \"month\"),\n", + " bearer = bearer)\n", + "\n", + "#### Yearly aggregated data in 2012 and 2021\n", + "r_annual <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A4\",\n", + " date = 2012:2021,\n", + " bearer = bearer)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09cf766d-81da-4bfb-b606-f5cc8fa59259", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#### Make raster\n", + "r <- bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A1\",\n", + " date = 2021,\n", + " bearer = bearer)\n", + "\n", + "#### Prep data\n", + "r <- r %>% mask(roi_sf) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b1bf5f2-7843-476d-9b72-c323821d0d65", + "metadata": {}, + "outputs": [], + "source": [ + "r_df <- rasterToPoints(r, spatial = TRUE) %>% as.data.frame()\n", + "names(r_df) <- c(\"value\", \"x\", \"y\")\n", + "\n", + "## Remove very low values of NTL; can be considered noise \n", + "r_df$value[r_df$value <= 2] <- 0\n", + "\n", + "## Distribution is skewed, so log\n", + "r_df$value_adj <- log(r_df$value+1)\n", + "\n", + "##### Map \n", + "p <- ggplot() +\n", + " geom_raster(data = r_df, \n", + " aes(x = x, y = y, \n", + " fill = value_adj)) +\n", + " scale_fill_gradient2(low = \"black\",\n", + " mid = \"yellow\",\n", + " high = \"red\",\n", + " midpoint = 4.5) +\n", + " labs(title = \"NTL, October 2021\") +\n", + " coord_quickmap() + \n", + " theme_void() +\n", + " theme(plot.title = element_text(face = \"bold\", hjust = 0.5),\n", + " legend.position = \"none\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90cf02e5-5b2f-4fc3-8c96-cd855efeadf5", + "metadata": {}, + "outputs": [], + "source": [ + "p" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e326bb4-d664-4439-979f-764e5565bb84", + "metadata": {}, + "outputs": [], + "source": [ + "file.path(getwd())" + ] + }, + { + "cell_type": "markdown", + "id": "825e75f1-5ee4-4176-906c-3b2524dfb215", + "metadata": {}, + "source": [ + "## Daily" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f090fbd-cf55-41a6-b46f-82d19a74b0b9", + "metadata": {}, + "outputs": [], + "source": [ + "# Create directories to store data\n", + "dir.create(file.path(getwd(), \"bm_files\"))\n", + "dir.create(file.path(getwd(), \"bm_files\", \"daily\"))\n", + "\n", + "# Extract daily-level nighttime lights data for Ghana's first administrative divisions. \n", + "# Save a separate dataset for each date in the `\"~/Desktop/bm_files/daily\"` directory. \n", + "# The code extracts data from January 1, 2023 to today. Given that daily nighttime lights \n", + "# data is produced on roughly a week delay, the function will only extract data that exists; \n", + "# it will skip extracting data for dates where data has not yet been produced by NASA Black Marble. \n", + "bm_extract(roi_sf = roi_sf,\n", + " product_id = \"VNP46A2\",\n", + " date = seq.Date(from = ymd(\"2022-09-01\"), to = Sys.Date(), by = 1),\n", + " bearer = bearer,\n", + " output_location_type = \"file\",\n", + " file_dir = file.path(getwd(), \"bm_files\", \"daily\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5770d55b-ac6a-4b62-a499-58554fd4fad3", + "metadata": {}, + "outputs": [], + "source": [ + "# Append daily-level datasets into one file\n", + "file.path(getwd(), \"bm_files\", \"daily\") %>%\n", + " list.files(pattern = \"*.Rds\",\n", + " full.names = T) %>%\n", + " map_df(readRDS) %>%\n", + " saveRDS(file.path(getwd(), \"bm_files\", \"ntl_daily.Rds\"))" + ] + }, + { + "cell_type": "markdown", + "id": "142d4146-238a-49be-8e88-3f4bcd635c23", + "metadata": {}, + "source": [ + "## Download" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "947a7fa0-4836-494a-868d-5e05c57841e5", + "metadata": {}, + "outputs": [], + "source": [ + "# Download data ----------------------------------------------------------------\n", + "bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A4\",\n", + " date =2012:2023,\n", + " bearer = bearer,\n", + " quality_flag_rm = c(255,1),\n", + " output_location_type = \"file\",\n", + " file_dir = file.path(ntl_dir, \"ntl-rasters\", \"blackmarble\", \"annual\"))\n", + "\n", + "bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A3\",\n", + " date = seq.Date(from = ymd(\"2012-01-01\"), to = Sys.Date(), by = \"month\"),\n", + " bearer = bearer,\n", + " quality_flag_rm = c(255,1),\n", + " output_location_type = \"file\",\n", + " file_dir = file.path(ntl_dir, \"ntl-rasters\", \"blackmarble\", \"monthly\"))\n", + "\n", + "bm_raster(roi_sf = roi_sf,\n", + " product_id = \"VNP46A2\",\n", + " date = seq.Date(from = ymd(\"2023-08-01\"), to = Sys.Date(), by = 1) %>% rev(),\n", + " bearer = bearer,\n", + " quality_flag_rm = c(255,2),\n", + " output_location_type = \"file\",\n", + " file_dir = file.path(ntl_dir, \"ntl-rasters\", \"blackmarble\", \"daily\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5d83d7d3-b55c-4ad9-9ffc-0d310dc6fd3b", + "metadata": {}, + "outputs": [], + "source": [ + "#### Extract annual data\n", + "ntl_df <- bm_extract(roi_sf = roi_sf,\n", + " product_id = \"VNP46A2\",\n", + " date = seq.Date(from = ymd(\"2022-01-01\"), to = Sys.Date(), by = 1) %>% rev(),\n", + " bearer = bearer,\n", + " output_location_type = \"file\",\n", + " file_dir = file.path(getwd(), \"bm\", \"daily\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "3a2972aa-08b8-49f7-81cd-900b8dc42263", + "metadata": {}, + "outputs": [], + "source": [ + "# Append daily-level datasets into one file\n", + "file.path(getwd(), \"bm\", \"daily\") %>%\n", + " list.files(pattern = \"*.Rds\",\n", + " full.names = T) %>%\n", + " map_df(readRDS) %>%\n", + " saveRDS(file.path(getwd(), \"ntl_bm_daily.Rds\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "2d6a55b1-abb0-4794-8d4f-dec11bc796e5", + "metadata": {}, + "outputs": [], + "source": [ + "ntl_df <- readRDS(file.path(getwd(), \"ntl_bm_daily.Rds\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "0ab592c6-2f16-4564-906d-7cadbc410c67", + "metadata": {}, + "outputs": [], + "source": [ + "write.csv(ntl_df, \"ntl_bm_daily.csv\", row.names=FALSE)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "55b80e83-4503-4464-8882-020de979f639", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“\u001b[1m\u001b[22mRemoved 72 rows containing missing values (`position_stack()`).”\n" + ] + }, + { + "data": { + "image/png": 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P4PuflrltrF7av0dvwvs+jYZ/aTvMGyKpYiswcLhQnlCRPGx7tN+xvXhsQ9Tys3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\npS7etcidIcjJKJ7Lzb2w7pY8ncN9NWTUsvhCI59yc29Zu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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": { + "image/png": { + "height": 420, + "width": 420 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "#### Trends over time\n", + "ntl_df %>%\n", + " filter(date >= \"2023-09-01\") %>%\n", + " ggplot() +\n", + " geom_col(aes(x = date, y = ntl_mean), fill = \"darkorange\") +\n", + " geom_vline(xintercept = ymd(\"2023-10-07\"), color = \"red\") +\n", + " facet_wrap(~NAME_2, ncol = 4) +\n", + " labs(x = NULL,\n", + " y = \"Average NTL Luminosity\",\n", + " title = \"Palestine Admin Level 2: Annual Average Nighttime Lights\") +\n", + " #theme_minimal() +\n", + " theme(strip.text = element_text(face = \"bold\"), panel.spacing = unit(1, \"lines\"), plot.background = element_blank())" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "ac536791-b213-4ef2-9e64-e530caac628a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“\u001b[1m\u001b[22mRemoved 72 rows containing missing values (`position_stack()`).”\n" + ] + } + ], + "source": [ + "ggsave(file=\"pse_ntl_mean_daily.pdf\", width=10, height=10, dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b3fd573-9a60-4cd1-946e-8741958bbe01", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "994420da-8801-4a1f-a14a-3d28503948d5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}