Catalyzing Policing Reform with Data: Technical Appendix (Urban Institute)

In the report Catalyzing Police Reform with Data: Policing Typology for Los Angeles Neighborhoods, we created a typology that elucidates the relationship between resident-initiated and police-initiated activity in the City of Los Angeles, as well as explore how that relationship varies across neighborhoods, by synthesizing data sources on calls for service, stops, arrests, and crime. The open data come from the Los Angeles Open Data Portal, the American Community Survey, and the Department of Housing and Urban Development. This Technical Appendix provides a detailed description of the data sources and methodology used to develop the typology, including processing the raw data, conducting a cluster analysis using Gaussian mixture models (GMM) and performing a stability analysis to identify how individual variables drive clustering. Our code for processing and analyzing the data is on GitHub.

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