Contributors: sgoodm
Name: sgoodm
Login: sgoodm
Email: [email protected]
OST Projects: 1
Languages: TeX
Categories: Sustainable Development
Sub Categories: Population and Poverty
Topics: geospatial-data, projection, equitable-ai, poverty-estimates
Contributed Projects
Accessible Poverty Estimates
We utilize random forests regressions and features derived from a range of geospatial datasets (nighttime lights, landcover, OpenStreetMap features, and more) to produce estimates of development indicators such as household wealth/poverty.
equitable-ai geospatial-data machine-learning poverty-estimates
Sustainable Development - Population and Poverty - Last synced: 28 Apr 2025 - Ranking: 3.7
