Source for the Data Collection module of Enabling the Geospatial Turn in the Social Sciences, published at https://spatialturn.github.io/DataCollection/.
The lesson is built with The Carpentries Workbench.
| Folder | Contents |
|---|---|
episodes/ |
The six lesson pages and their figures |
notebooks/ |
Google Colab notebooks linked from the Census episode (01a to 01c) and the Geocoding episode (02a to 02c) |
data/ |
museums.txt, read by URL in the Geocoding episode and notebook 2a |
learners/, instructors/, profiles/ |
Setup, glossary, instructor notes and learner profiles |
| Episode file | Topic |
|---|---|
introduction.md |
Introduction to data collection |
repositories.md |
Finding data in repositories |
census.md |
Data from the U.S. Census Bureau (with notebooks 01a to 01c) |
geocoding.md |
Geocoding and adding spatial context (with notebooks 02a to 02c; moved from the Data Analysis module in October 2026) |
imagery.md |
Scanned maps, CORONA and Sentinel-2 imagery |
field.md |
Collecting data in the field |
| File | Contents | Source |
|---|---|---|
data/museums.txt |
Names and street addresses of 15 U.S. museums (tab separated, no header), for geocoding practice | This project |
The QField demonstration and the QGIS network analysis, with their Lafayette GeoJSON files, moved to the Case Studies module in October 2026.
Figures named dc_*.png in episodes/ were generated with Python from U.S. Census Bureau data (American
Community Survey 2020-2024 5-year estimates, 2020 Decennial Census, TIGER/Line and cartographic boundary
files) and OpenStreetMap data.
The notebooks need a free Census API key: https://api.census.gov/data/key_signup.html.
Contact: ilindsay@purdue.edu