GeoQuery

Filter and aggregate data to provinces or districts without code or mapping software

Find and integrate subnational data — satellite, conflict, aid, economic, health and more — from anywhere in the world into a single simple-to-use spreadsheet. For free.

Get Data

geoQuery.org  → Data Documentation

Home / GEO

Overview

GeoQuery enables individuals and organizations of all skill levels to freely find and aggregate satellite, economic, health, conflict, and other spatial data into a single, simple-to-use file compatible with Microsoft Excel and other common software. Without writing custom scripts, GeoQuery users can quickly get massive amounts of measurement data (from surveys, satellites, etc.) at fully customizable geographic boundaries (administrative zones, environmentally protected areas, etc.) and timeframes. AidData is able to provide open access to geospatial data and tools like GeoQuery through generous support from the Cloudera Foundation, the Hewlett Foundation, and William & Mary.

How to Get Started

Want to use spatial data, but don't have experience using ArcGIS, QGIS, 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.

Quick Start Guide (PDF)

Features

Expert curation

Find quality assured datasets curated by experts

User Interface

Filter and join datasets without using code

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

Watch a short demonstration or go right to GeoQuery.

How GeoQuery Works

GeoQuery performs advanced spatial statistics to extract data from open-source datasets.

Every data request you make returns an email with a single spreadsheet file (CSV) where each row is a geographic boundary and each column is a variable from 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.

Data & Documentation

Every data request from GeoQuery comes with dynamically generated documentation, and is stored at a unique, permanent URL to promote data sharing and research replication. Here is an example data request.

What Data is Available Through GeoQuery?

Documentation & Use Cases

We provide human readable documentation on every procedure and step GeoQuery uses to process data. Get documentation on GeoQuery and use cases from around the world.

Documentation & Use Cases

Custom Data Requests

Aggregate Data to Custom Boundaries

Want to request data to your own custom boundaries? Send us your GeoJSON or zipped shape file and we'll get it done?

Custom Request Form

Overview of Available Data

For more information, visit AidData's complete catalogue of data available through GeoQuery.

GeoQuery Data Catalogue

Boundary Data

GeoBoundaries (William and Mary), GADM, Global Grid 0.5 decimal degrees

Measurement Data

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)

Citations & Licenses

Open Source Code

We are committed to transparency: every line of our code is open source. Get the raw github code powering GeoQuery, and a suite of R-based examples and packages that assist in the use of data from GeoQuery.

Github  →

Citing GeoQuery

Please cite the following in any and all applications of the extracted datasets:

Goodman, S., BenYishay, A., Lv, Z., & Runfola, D. (2019). GeoQuery: Integrating HPC systems and public web-based geospatial data tools. Computers & Geosciences, 122, 103-112.

Why do I need to cite GeoQuery?

License Information

Get information about the sources of data we integrate into GeoQuery, our data federation model, and licenses for our software and content.

Data Providers & Licenses