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Journal Article

Citation

Haberman CP, Hatten D, Carter JG, Piza EL. J. Crim. Justice 2021; 73: e101721.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.jcrimjus.2020.101721

PMID

unavailable

Abstract

PURPOSE
To determine if repeat and near repeat analysis is sensitive to the geocoding algorithm used for the underlying crime incident data.
Methods
The Indianapolis Metropolitan Police Department provided 2016 crime incident data for five crime types: (1) shootings, (2) robberies, (3) residential burglaries, (4) theft of automobiles, and (5) theft from automobiles. The incident data were geocoded using a dual ranges algorithm and a composite algorithm. First, descriptive analysis of the distances between the two point patterns were conducted. Second, repeat and near repeat analysis was performed. Third, the resulting repeat and near repeat patterns were compared across geocoding algorithms.
Results
The underlying point patterns and repeat and near repeat analyses were similar across geocoding algorithms.
Conclusions
While detailing geocoding processes increases transparency and future researchers can conduct sensitivity results to ensure their findings are robust, dual ranges geocoding algorithms are likely adequate for repeat and near repeat analysis.


Language: en

Keywords

Geocoding; Near repeat victimization; Repeat victimization; Spatiotemporal analysis

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