Geo+Django: Geo beyond the Django
summary
A GeoDjango stack walkthrough showing a working Chicago CTA app, data pulled from city open data and OpenStreetMap, imports via shp2pgsql/ogr2ogr, storage in PostGIS 2.0 (notes: spatial_ref_sys table, geometry_columns as views), coordinate transforms with proj4/pyproj to generate evenly spaced points for heatmaps, server rendering with Mapnik (TileMill produces Mapnik XML), tiling with TileStache, GeoJSON served by djangorestframework-gis, and a Leaflet front end that successfully loads tiles and vector layers.
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chapters (25)
- 0:00Diamond Sponsor
- 1:18Coordinate Reference System
- 2:09Coordinate System Registry
- 2:50World Geodetic System
- 3:48Post GIS Installation
- 4:45Post GIS Objects
- 6:33Open Street Map (OSM)
- 7:11Well known Text WKT
- 8:10Keyhole Markup Language KML
- 8:42GeoJSON
- 9:28Shapefile
- 10:30Importing
- 11:39Proj4: Making a grid of points from a single point
- 12:29Stack Architecture
- 12:41Mapnik Datasources
- 13:02Mapnik Styles
- 13:30Mapnik Examples
- 15:02Map Style Sheets MSS
- 15:56Quantum GIS QGIS
- 17:23rest_framework_gis
- 17:50Map Tiling
- 20:10Google Maps Example
- 20:43Open Layers
- 21:15Leaflet Example
- 23:35References
