Spatial Analysis
pillar
analysis
methods
Applying a geographic lens to pressing policy questions on poverty and inequality
Overview
We apply a geographic lens to pressing policy questions on poverty and inequality. Whether it’s identifying where jobs are (and aren’t) for the poor, mapping urban deprivation, or analyzing rural income dynamics, we use spatially disaggregated data to generate actionable insights.
Our Approach
We work with diverse data sources including:
- Household surveys
- Censuses
- Administrative records
- Private sector data
- Satellite-based remote sensing
Our analysis covers everything from climate and land use to infrastructure and conflict.
Tools and Methods
We develop and share open, reproducible code and tools that can be adapted across countries and topics.
Current Projects
Project examples will be added here
Publications and Outputs
Key outputs will be added here