Some extensions to the WDD statistic
I have developed several extensions to the WDD statistic, including different temporal periods in pre/post, normalizing per area, combining different harm weight estimates, and continuous monitoring. See the post for examples and a spreadsheet to do the calculations.
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- Some extensions to the WDD statistic
- Why crime analysts should learn SQL
- Crime Analysts make too many BOLOs
- Junk science: Detecting deception in 911 homicide calls
- A market for empirical research
- How to use python to query your RMS
- Applications of AI in policing
- Aoristic Analysis of Uncertain Crime Times in Python
- Wake Libertarian Talk on LPRs
- Crime Analysis with Python Book Released
- Simple rule to identify if rare crimes have spiked
- Geocoding Crime Data Locally
- Building Custom Software
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- AI regulation in policing
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- Early Release of Data Science for Crime Analysis with Python Book
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- Don't use percent change for crime data, use this stat instead
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