dime-worldbank / big-data-poverty-estimationLinks
Develop machine learning models for poverty estimation
☆31Updated last year
Alternatives and similar repositories for big-data-poverty-estimation
Users that are interested in big-data-poverty-estimation are comparing it to the libraries listed below
Sorting:
- Collection of tools and training materials for exploring the open Nighttime Lights repository☆34Updated 9 months ago
- Steps to create electrification estimates from settlement maps and nighttime satellite imagery.☆18Updated 4 years ago
- The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobil…☆25Updated 3 years ago
- Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble☆23Updated last month
- Codes and data to plot figures in the paper "Micro-Estimates of Wealth for all Low- and Middle-Income Countries"☆13Updated 4 years ago
- A simple function to create bivariate Choropleth maps in R tmap☆25Updated 6 years ago
- R package to extract data from satellite nightlights.☆47Updated 3 years ago
- Spatiotemporal Aggregation for Climate Data☆20Updated 2 weeks ago
- A hour lighting introduction to Python for WBG staff delivered on Data Day on Feb 13☆9Updated 6 years ago
- This repository has codes for the R as GIS for Economists book including the Rmd files for the book chapters.☆53Updated 8 months ago
- Spatial Modelling for Data Scientists☆84Updated last year
- Repository with resources for DIME's research standards and coding standards☆53Updated 3 months ago
- Spatial first differences☆15Updated 5 years ago
- Repository of code associated with the paper "Using Neural Networks to Predict Micro-Spatial Economic Growth"☆35Updated 4 months ago
- Replication scripts that were used to generate the PRIO-GRID v3.0 dataset using R. For version 2.0 replication see legacy branch.☆30Updated last week
- Training materials and other GitHub related information developed by DIME Analytics☆30Updated last year
- Graduate Environment & Development Economics at the University of Minnesota☆20Updated 4 months ago
- California surface water quantity data☆22Updated 2 years ago
- R for Geographic Data Science☆51Updated 3 months ago
- Geographic Data Science for Public Policy☆19Updated 3 years ago
- Supporting material for “ Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits” (Carl …☆18Updated last year
- The aim of the analysis is to create a high resolution map of poverty, income and literacy for El Salvador. The data on these three devel…☆10Updated 3 weeks ago
- SpatialRDD☆39Updated last year
- An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)☆39Updated 2 months ago
- GIS methods course☆31Updated 3 years ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019☆27Updated 5 years ago
- Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, …☆68Updated 7 months ago
- This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.☆53Updated last year
- Links and slides from the OpenGeoHub summer school 2022☆47Updated 2 years ago
- Course: Introduction to Geographic Data Science☆41Updated 2 years ago