GEOG 595 GIS - Computational Techniques for Spatial Analysis

Luc Anselin

Welcome to the home page for my Fall 2005 Computational Techniques course.This site will provide links to all the resources for the course. It will be updated frequently during the semester, so check back often, especially the morning of each class. You will need Adobe Acrobat Reader to download course materials in pdf format. Make sure you have at least Version 6, to avoid some incompatibilities with earlier versions of the reader (such as Version 4).

Notes

(class handouts)

• 1. Getting Started, Basic Python Types (304K)
• 2. Program Logic (208K)
• 3. Functions and Modules (232K)
• 4. Files and Exceptions (224K)
• 5. Advanced File Handling (228K)
• 6. Object Orientation Basics (164K)
• 7. Object Orientation Continued (184K)
• 8. Matrix Basics (192K)
• 9. Matrix Algebra and Random Numbers (196K)

Code Samples

Projects

Software

• Standard Python download page
• ActiveState Python download page
• MacPython 2.4.1 download page
• Numeric (numpy) download page
• Numerical Python documentation
• Numarray download page
• numarray User's Manual
• wxPython download page
• wxPython wiki
• Vaults of Parnassus Python program collection
• Python packages collection

Supporting Materials

• Course Syllabus (132K)
• Sergio Rey, Python for Geocomputation and Visualization (192K)
• Luc Anselin and Sergio Rey, PySAL, a Python Library for Spatial Analytical Functions (2.4 Mb), Presented at GeoComputation 2005, Ann Arbor, MI
• Howard Butler, A Guide to the Python Universe for ESRI Users
• supporting materials
• ESRI Shapefile White Paper
• THE Tutorial, by Guido himself
• Downey et al., How to Think Like a Computer Scientist, Learning with Python
• Pilgirm, Dive into Python
• Lutz-Asher, Learning Python supporting materials
• Lutz, Programming Python supporting materials
• Martelli et al Python Cookbook
• Style Guide for Python Code

Other Useful Links

• PySAL home page
• STARS home page
• Howard Butler and Sean Gillies, Python OSGIS Hacks '05
• Collection of Python tutorials
• Python Documentation
• A Python wiki book
• Scientific Python home page
• wxPython home page

Last updated November 1, 2005