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GeoQuery is AidData's tool for geospatial data extraction. With it, you can filter and join spatial data on aid with other datasets for use with your favorite program - no training required.Explore GeoQuery →
What data is available on GeoQuery?
GeoQuery provides free and unlimited access to AidData's Geo Framework, allowing anyone to easily obtain customized datasets that fuse together georeferenced investment data with outcome measures from satellites, surveys, weather stations, and open-source, remotely-generated event data, including:
- Aid: World Bank financed development projects, Chinese-financed development projects, country specfific datasets (e.g. Afghanistan, Nepal, etc.)
- Population and the Environment: Population density, satellite imagery of vegetation, land cover, precipitation, slope, and elevation
- Conflict: Georeferenced conflict events from media-based and third-party sources including UCDP and ACLED
- Economic Development: Subnational measurements including GDP and high resolution satellite imagery of nighttime lights
- Infrastructure Access: Distance to features such as roads and water, as well as travel time to population centers
What makes GeoQuery unique?
- User Interface: Filter and join datasets without using code
- Expert curation: Find quality assured datasets curated by experts
- Clean: Data is exported to a clean CSV with predictable naming conventions.
- Documented: Supporting documentation includes metadata
- Replicable Access a permanent link of data extraction requests
Creating the next generation of geospatial data, methods, and tools
With support from our partners, AidData is investing in the development of next-generation social, economic, environmental, and governance outcome measures that can be tracked over time and at high levels of spatial resolution. These measures include, among other things, satellite- and survey-based estimates of poverty, crop yields, citizen satisfaction with public services, and trust in political institutions. AidData is actively engaging with international development organizations to operationalize the use of these metrics across the programming life-cycle, including program design and placement, implementation monitoring, and ex post impact evaluation. Through collaboration with faculty and students at William and Mary, AidData is exploring cutting-edge methods and tools to overcome major challenges in geospatial analysis of development policies and programs such spatial spillover effects, incorporating spatial measurement imprecision, and identifying spatially heterogeneous impacts.