More data is available today than ever before, but organizations often don't have the means to use it. AidData's GEO program breaks down technological barriers and empowers a broad range of data users to produce new and meaningful research and insights using next-generation geospatial data, methods and tools.
Our powerful spatial data integration and extraction infrastructure is available for free public use through GeoQuery, a ground-breaking project that enables users without significant computing power or expertise to easily find, access and merge together spatial data from a wide variety of sources.
The GEO program also creates new datasets with information on development outcomes captured frequently and at high levels of spatial detail; provides the largest open-source repository of data on geographic boundaries; and innovates new geostatistical analysis and machine learning-based methods.
GeoQuery enables individuals and organizations without significant computing power or data science expertise to freely find and aggregate satellite, economic, health, conflict, and other spatial data from anywhere in the world into a single, simple-to-use file.
GeoBoundaries provides accurate data on the geographic boundaries of administrative areas around the globe. Unlike other boundary datasets, GeoBoundaries is an open product: all boundaries are free and redistributable, and are released with extensive metadata and license information to inform users.
For geospatial experts, GeoSIMEX is a geospatially-adapted SIMEX (simulation and extrapolation) model available as an R package. It helps research models establish a relationship between measurement error and covariate bias introduced by geospatial uncertainty to estimate the impact an intervention had.
Recent work has proven the effectiveness of satellite imagery and convolutional neural network (CNN)-based machine learning methods to predict poverty. AidData and its partners explore these data and methods, apply them in real world applications, and provide tools for other other researchers.
GeoQuery performs advanced spatial statistics to extract data from open-source datasets on topics on such as:
Population and the Environment
Conflict and Health
Access to Infrastructure
Every data request you make returns an email with a single CSV where each row is a geographic boundary and each column is a requested dataset. This file can be read by nearly all software packages, and we also include a full PDF of metadata. All requests are made accessible at a unique, permanent URL to promote data sharing. See our Quick Start Guide.
Want the technical details? Learn more about how it all workshere. Additional options for advanced users:
Boundary Data: Get the geographic and administrative boundary data (GeoBoundaries) used in GeoQuery. Fully open and redistributable, with all meta and license data available for every country in the world.
Measurement Datasets: Access 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.
Contact firstname.lastname@example.org for more information on GeoBoundaries and raw raster and vector data.