Purdue University · NSF CyberTraining
Enabling the Geospatial Turn in the Social Sciences
Free, self-paced lessons that follow a research project from the first line of Python to a shared, documented dataset.
Contours every 5 m around Purdue and the Wabash River, West Lafayette, Indiana, with the streets around campus.
Legend: the modules, in the order a project uses them
8 modules
- Pythonnotebook
- QGISdesktop exercise
- Theoryshared by both paths
- Workshop 2Afrom Workshop 2026, Track A
- BBeginner IIntermediate AAdvanced
- 1Foundations Start herePython in Colab, tables, maps and rasters, QGIS maps and joins, and a first capstone
- 2Data ManagementData models, formats, coordinate systems and quality
- 3Data CollectionRepositories, Census data, geocoding, imagery and fieldwork
- 4Data ProcessingCleaning real data, geoprocessing, raster processing and automating repeated steps
- 5Data AnalysisNetworks, spatial autocorrelation, clustering and NDVI
- 6Data VisualizationCharts, map design, finished maps in Python and QGIS, and accessible maps
- 7Data CurationMetadata, preservation, sharing and ethics
- 8Case StudiesPark access, food deserts and grocery access, start to finish
Enabling the Geospatial Turn in the Social Sciences
Supported by the U.S. National Science Foundation.
Edition 2026. Contact: ilindsay@purdue.edu