Analyzing Crime with Python
- March 6 · 7:00 PM
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:
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Carol Naslund Willing
Sorry for the late cancellation. Sick child :( Looks like very cool stuff.
March 6
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Christoph Maier
I may just swing by ... and leave if there's no place, or do Something Completely Different.
March 5
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Dave Sergeant
Majorly bummed to miss this. Please post a link to slides here or on the project page.
Will future meetings be cross-posted into the SDPUG or just in SDRDL?
March 4
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Eric Busboom
Sorry you'll miss the kick off, but the project will run for a few months, so you can jump in later. Everything will get linked to the project wiki page, http://tinyurl.com/cs....
For future meetings, we'll split up the programming, statistics and GIS work, and only post the python programming meetings here. ( Meetup.com isn't really built for multi-group meetings. )
March 4
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24 attended
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Eric Busboom
Event Host
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A former member
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People in this
Meetup are also in:
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MongoDB San Diego Meetup
162 MongoSD members
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CyberTECH San Diego Internet of Things (iOT)
44 iOT Discoverers and Explorers
Next Meetup:
Friday, Feb 07 -
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Swedes in San Diego
29 Fabulous Swedes
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