An open-source implementation of geographic profiling methods for serial crime analysis
Jamie S. Spaulding () and
Keith B. Morris
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Jamie S. Spaulding: Hamline University
Keith B. Morris: West Virginia University
Journal of Geographical Systems, 2023, vol. 25, issue 4, No 6, 567-586
Abstract:
Abstract The rgeoprofile R package was developed to implement functions for the analysis of serial crime incidents. Geographic profiling is an investigative technique that utilizes the spatial relationship of a connected series of crime incidents to determine or predict the most probable area of offender residence or anchor point. If successfully used as a decision support system, criminal geography can be used to help law enforcement agencies strategically target certain areas for inquiry or prioritize suspects through a narrowed search window. As an open-source platform, the rgeoprofile package contains several rapid reproducible models of spatial analysis using either centrographic or distance decay functions to predict the offender’s home base. An open-source approach results in transparent analyses with no-cost availability for agencies. Additionally, since both mathematical models and investigator heuristics have been shown to provide viable options for criminal geographic profiling, a software package, which integrates different solutions to the geographic profiling problem was needed. Finally, the article demonstrates the various geographic profiling methods in a case study of the Boston Strangler to illustrate the advantages of each approach.
Keywords: Geographical profiling; Police investigation; Decision support systems; Open source (search for similar items in EconPapers)
JEL-codes: C02 C32 C63 C88 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:kap:jgeosy:v:25:y:2023:i:4:d:10.1007_s10109-023-00417-w
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DOI: 10.1007/s10109-023-00417-w
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