Rapid Geographic Web Application Development with GeoDjango

Attendees should provide a laptop computer; the speakers will provide the data, the software, and the expertise. Participants will build a geographic web application for exploring Texas, including real estate, transportation, retail, and government GIS data sets. The following aspects of GeoDjango will be discussed and explored:

• GEOS
• GDAL
• PROJ.4
• PostgreSQL
• PostGIS
• Python 2.5
• pyscopg2
• GeoDjango from SVN
• OpenLayers
• Google Earth (optional, but recommended)

• Exploring a geographic dataset using ogrinfo.
• Create geographic models using the Point, LineString, Polygon, and MultiPolygon fields.
• Discussion of spatial index and spatial reference identifier options.
• Discussion of automatic model generation by introspecting OGR data sources (e.g., shapefiles).

• Learn how to import your spatial data from shapefiles with the LayerMapping utility.
• Zip codes, county boundaries, cities, and road models for Texas will be used.
• Common problems involving data integrity, spatial reference transformation, and verification will be discussed.

• Learn how to query the database to determine what Zip codes intersect with the road models.
• Determine the aggregate length of all Texas roads in miles, kilometers, and yards.
• Determining the number of cities within a county, and discover the features surrounding a county.
• Find the closest restaurant in your city that serves beer.

• Edit and view geographic features using built-in OpenLayers maps.
• Create dynamic, rich browsable Web site automatically with databrowse.

• Show how to use URL configuration to build RESTful URLs
• Create geographic views for KML, GeoRSS, and GeoJSON.

• Set up TileCache with GeoDjango.
• Set up rendering capabilities to create tiles for a base map using either Mapnik or MapServer.
• Generate JavaScript using APIs for OpenLayers and/or Google Maps.