Spatial Data Collections
Access to comprehensive spatial data collections and resources for research and academic purposes
data gis spatial
Spatial Data Collections
Available Data Sources
National & International Data
- US Census Bureau TIGER/Line Data
- NASA Earth Observation Data
- USGS Earth Explorer
- World Bank Open Data
- United Nations Data
- NOAA Climate Data
- OpenStreetMap Data
Regional & Local Data
- Chicago Data Portal
- Cook County GIS Data
- Illinois Geospatial Data Clearinghouse
- Chicago Metropolitan Agency for Planning (CMAP) Data Hub
Specialized Collections
- Historical Maps and Imagery
- Demographic and Socioeconomic Data
- Environmental and Climate Data
- Transportation Networks
- Land Use and Land Cover
Access Methods
Direct Download
- Publicly available datasets
- No authentication required
- Regularly updated
Restricted Access
- Licensed datasets (requires UChicago affiliation)
- Data available through the UChicago Library
- Special access arrangements for sensitive data
Web Services
- WMS/WMTS/WFS services
- REST APIs
- GeoJSON endpoints
Data Formats
- Vector: GeoJSON, Shapefile, KML, GeoPackage
- Raster: GeoTIFF, NetCDF, HDF
- Tabular: CSV, Excel (with geocoding support)
- Web: Vector Tiles, 3D Tiles
Data Processing Tools
- QGIS with Processing Toolbox
- ArcGIS Pro Analysis Tools
- Python (GeoPandas, Rasterio)
- R (sf, terra packages)
- Google Earth Engine
Best Practices
- Always check data licenses and use restrictions
- Document data sources and processing steps
- Maintain data provenance
- Consider coordinate reference systems
- Validate and clean data before analysis
Getting Help
- Data discovery assistance
- Format conversion
- Data cleaning and preparation
- Custom data extraction
Training Resources
- Data acquisition workshops
- Data management best practices
- Working with big geospatial data
- Reproducible research with spatial data
Request Custom Data
Need specific data for your research? Our team can help you:
- Identify appropriate data sources
- Acquire licensed datasets
- Process and prepare data for analysis
- Develop custom data pipelines