High-resolution mapping of poverty in Kampala
Project Active from to Sustainable Growth and Cities
This project uses machine learning and geospatial data to create the first high-resolution poverty map of Kampala. Combining household surveys with satellite imagery, it predicts poverty at sub-district and grid-cell levels to enable targeted interventions to support inclusive growth and urban development.
Researchers
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- Sustainable Growth Cities
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- Uganda
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- Africa