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Implementing a Bayesian approach to criminal geographic profiling

Published: 21 June 2010 Publication History

Abstract

The geographic profiling problem is to create an operationally useful estimate of the location of the home base of a serial criminal from the known locations of the offense sites. We have developed and released new software based on Bayesian methods that attempts to solve this problem. In this paper, we discuss some of the geographic and computational challenges in implementing this new method.

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Cited By

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  • (2022)An analysis about the accuracy of geographic profiling in relation to the number of observations and the buffer zoneJournal of Geographical Systems10.1007/s10109-022-00379-524:4(641-656)Online publication date: 9-Jun-2022
  • (2021)Differences in Geographic Profiles When Using Street Routing Versus Manhattan Distances in Buffer Zone Radii Calculations2021 IEEE International Conference on Intelligence and Security Informatics (ISI)10.1109/ISI53945.2021.9624736(1-6)Online publication date: 2-Nov-2021
  • (2021)Spatially clustered count data provide more efficient search strategies in invasion biology and disease controlEcological Applications10.1002/eap.232931:5Online publication date: 4-May-2021
  • Show More Cited By

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cover image ACM Other conferences
COM.Geo '10: Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
June 2010
274 pages
ISBN:9781450300315
DOI:10.1145/1823854
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2010

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  1. criminology
  2. geographic profiling

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Cited By

View all
  • (2022)An analysis about the accuracy of geographic profiling in relation to the number of observations and the buffer zoneJournal of Geographical Systems10.1007/s10109-022-00379-524:4(641-656)Online publication date: 9-Jun-2022
  • (2021)Differences in Geographic Profiles When Using Street Routing Versus Manhattan Distances in Buffer Zone Radii Calculations2021 IEEE International Conference on Intelligence and Security Informatics (ISI)10.1109/ISI53945.2021.9624736(1-6)Online publication date: 2-Nov-2021
  • (2021)Spatially clustered count data provide more efficient search strategies in invasion biology and disease controlEcological Applications10.1002/eap.232931:5Online publication date: 4-May-2021
  • (2020)Investigating Sherlock Holmes: Using Geographic Profiling to Analyze the Novels of Arthur Conan DoyleThe Professional Geographer10.1080/00330124.2020.175857572:4(566-574)Online publication date: 12-Jun-2020
  • (2017)Social Activity HubsProceedings of the 2017 International Conference of The Computational Social Science Society of the Americas10.1145/3145574.3145606(1-9)Online publication date: 19-Oct-2017
  • (2016)Using geographic profiling to compare the value of sightings vs trap data in a biological invasionDiversity and Distributions10.1111/ddi.1249823:1(104-112)Online publication date: 28-Oct-2016
  • (2015)Using geographic profiling to locate elusive nocturnal animals: a case study with spectral tarsiersJournal of Zoology10.1111/jzo.12203295:4(261-268)Online publication date: 22-Jan-2015
  • (2014)Spatial targeting of infectious disease control: identifying multiple, unknown sourcesMethods in Ecology and Evolution10.1111/2041-210X.121905:7(647-655)Online publication date: 12-May-2014
  • (2012)From Jack the Ripper to epidemiology and ecologyTrends in Ecology & Evolution10.1016/j.tree.2012.03.00427:6(307-308)Online publication date: Jun-2012

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