poverty-mapping

Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information

Combing satellite imagery and machine learning methods to cluster ward-level povery in Gauteng, South Africa.

Environmental Justice Analysis Multisite tool for summarizing environmental and residential population information for multiple locations. Also creates EJScreen's Community Reports. This version of EJAM is not associated with the USEPA.

Data and code repository from "Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data"

Figures from ENGAGER Energy Poverty Encyclopedia entry on sub-regional indicators

A basic walk-through of building a Fusion Tables map showing poverty levels and health centers in California counties.

Anyone can be rich... for an instant.

Initial analytics project looking exclusively at the UK trends in the World Bank Poverty and Inequality Platform (PIP) Dataset (1969 - 2017).

Analisis Klastering dan Prediksi Kemiskinan di Indonesia Berdasarkan Data dan Informasi Kemiskinan Kabupaten Kota 2025 yang dikeluarkan oleh BPS

Reexamining the World Bank's approach to mapping poverty with supervised learning

HarvestChoice Data Services v3 (project was retired in 2017)

Pre-registered evaluation of whether prediction intervals for satellite-based poverty estimates survive a national border. Twelve West African DHS surveys.

Multimodal poverty-risk mapping research using satellite features, news NLP, deep learning, and XAI.

Offline-first Progressive Web App for statisticians. Upload a survey codebook, pick from 16 area-level and unit-level SAE methods, and download ready-to-run, commented R and Stata scripts — no advanced statistics knowledge required.

Using sequence and cluster analysis to analyse change over time in fuel poverty estimates.

GPS-jitter and noisy-label diagnostics for satellite-based poverty mapping in Ethiopia