The Power of GeoDjango
summary
GeoDjango plus PostGIS and GDAL get practical treatment: creates a GeoDjango model, seed PostGIS using raw location data, and visualizes results with Leaflet/OpenStreetMaps in a live demo called grid assessor. Explains SRID choices (use 4326 then project for measurements), WKT/WKB/GeoJSON formats, raster vs vector, and spatial queries like contains/intersects. Shows debugging tips and gotchas—empty multipolygons, units swapped (miles vs meters), simplify/prepared helpers, and right‑hand‑rule topology fixes.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 1:04Coordinate Systems
- 5:01GeoDjango
- 7:15Data Models
- 8:41WKT
- 9:23Raster Data
- 10:25Steps
- 10:57Querying
- 11:44Shapely
- 12:07Recap
- 12:30Debugging
- 13:13Gdal Error
- 16:51Demo








