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
7 modules
- Pythonnotebook
- QGISdesktop exercise
- Theoryshared by both paths
- Workshop 2Afrom Workshop 2026, Track A
- 1Foundations Start herePython in Colab, tables, charts and a first QGIS map
- 2Data ManagementData models, formats, coordinate systems and quality
- 3Data CollectionRepositories, Census data, geocoding, imagery and fieldwork
- 4Data AnalysisNetworks, autocorrelation, clustering and NDVI
- 5Data VisualizationCharts, map design and accessible maps
- 6Data CurationMetadata, preservation, sharing and ethics
- 7Case StudiesFood 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