Want to use spatial data, but don't have experience using ArcGIS, Q, or other programs for satellite imagery or spatial data analysis? Our Quick Start Guide walks you through a simple spreadsheet-based analysis using data downloaded from GeoQuery, designed to be completed in under 10 minutes.
WHO WE ARE
Researchers at William and Mary
GeoQuery is a part of AidData, a research lab at William and Mary. With one foot in applied practice and the other academia, we are able to provide open access to our data thanks to the contributions of full-time GIS analysts and engineers, faculty members, and students from nearly all walks of life. Click here to meet our students, or head over to AidData to see our faculty and staff.
We've conducted analyses with the same data available on this site for dozens of organizations, including the World Bank, GEF, KFW, USAID, and more. As a part of these and other projects, AidData staff and faculty have been creating and integrating geospatial data for over 10 years, and every datasets that is included in GeoQuery is extensively vetted for accuracy.
Committed to Transparency
Every line of our code is open source, and we provide human readable documentation on every procedure and step GeoQuery uses to process data. We also regularly present our work at conferences, publish in peer-reviewed outlets, and provide all of the raw data used in GeoQuery for download by experts.
Every request you make will return an email with a single CSV where every row is a geographic boundary and every column is a requested dataset. This file can be read by nearly all software packages, and we also include a full PDF of metadata - you can download an example here. All requests are made accessible at a unique, permanent URL to promote research replication and data sharing. Want the technical details? Learn more about how it all works here.
Select Datasets in GeoQuery
|International Aid||Multiple data sources from the AidData research lab, including World Bank and Chinese development projects, country-specific (e.g. Afghanistan, Nepal) datasets.|
|Population and the Environment||Population Density and Counts (CIESIN), Slope and Elevation (NASA), Protected Areas (IUCN), NDVI (UMD GLCF), Land Cover (European Space Agency, NASA), Precipitation and Temperature (UDEL)|
|Conflict and Health||Conflict deaths (UCDP), Conflict Events (ACLED), Lootable Gold Deposits (GOLDATA), Child Mortality (Stanford), Ozone Concentration and Particulate Matter (TM5-FASST).|
|Economic Development||Nighttime Lights (DMSP; VIIRS), On-shore petroleum (PRIO), Gemstone Deposits (GEMDATA), Gross Domestic Product (CIRES), Drug Cultivation Sites (DRUGDATA)|
|Access to Infrastructure||Distance to Coastal features and Water (GSHHG), Distances to Roads (gRoads, CIESIN), Distance to country borders (GADM), Travel Time to Major Cities (JRC)|
GET THE RAW DATA
The geographic boundary data (GeoBoundaries) used in GeoQuery. Fully open and redistributable, with all meta and license data available for every country in the world.
The raw raster and vector data used to generate data in GeoQuery (including AidData, open source satellite data, and other information used to create extracts).