Maps of Imaginary Lands

The Goal

  • Build an imaginary land

The Problem

  • Not trivial

  • Some preparation required

  • May be new

    • THis should not be a problem, but… :-)

The Solution

  • I have provided running code
  • Github URL at end of the slides.

What is success?

  • Get up to speed on Django and GeoDjango
  • Run (and read) my code
  • Do something better!

The Secret Tip

  • All maps are mashups

The Stack

  • PostGUS
  • OpenLayer.js
  • Mapnik
  • Tilecache
  • GeoDjango

OpenLayer.js

  • Client side, Javascript framework
  • For doing maps layering

Mapnik

  • Server side way to combine data sources
  • Different details and different zoom levels
  • Input from raster or vector formats

Tilecache

  • Caching tile
  • Use this or mod_tile or tilestache or other
  • Avoid recomputing common data

GeoDjango

  • Use views to provide subset of data
  • Easy default output in formats understood by OpenLayers

Imaginary Maps

  • Need to replace base image
  • GeoAdmin needs to be customized for the imaginary maps
  • Mapnik WMS server running locally

Sample Model Code

class Track(models.Model):
    name = models.CharField(unique=True, max_length=50)
    path = models.LineStringField(geography=True)
    objects = models.GeoManager()

    def __unicode__(self):
        return self.name