GitHub topics: poverty-mapping

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

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

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

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

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

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Anyone can be rich... for an instant.

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

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

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