Analyzing Crime with Python

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Use Python to make heat maps of crime, traffic lights and alcohol permits to beter understand what influences crime rates.

Learn how to analyze crime data and link crime to traffic, street lamps and demographics to learn about your community. We will be using Python, GIS and a variety of data analysis techniques to study a wide range of issues related to crime in this long term project.

For Python programmers, this project is an introduction to:

Numpy and Scipy, for statistical computing

GDAL and osgeo, for manipulating GIS data

Databundles, for packaging data

For an overview of the project, visit the project wiki page:

https://sandiegodata.atlassian.net/wiki/display/SDD/Crime+Analysis

Or, read about some of the preliminary work on our blog:

http://www.sandiegodata.org/blog/