[Part 7 of 12]
Having covered some major aspects of data preparation: data in Arc, databases, and text-formats, we'll now move on to look at some areas of analysis that are useful for spatial problem solving. In this part we'll look at visualisation, and in the next part we'll look at maths, stats, and other analysis tools.
First up for visualisation, graphing data in Java.
Next up, visualising geographical data outside of GIS.
Keyhole Markup Language (KML):
KML Test suite
Ballistic trajectories in KML (also)
Animations in KML
For a GoogleMaps example that uses a GeoRSS stream, see Full Examples page
Geographical data (powerpoint)
Finally, 'Processing' a powerful general visualisation language and environment based on Java.
Processing reserved variable names / keywords
How to write processing within standard java
Nice tutorial on using Twitter with Processing (cheers to ex-student Olly [who has done some nice work with twitter on the web using processing.js])
MapThing Mapping library for Processing
City Uni's giCenter Processing utilities