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The mathematics of geographic profiling
Author(s) -
O'Leary Mike
Publication year - 2009
Publication title -
journal of investigative psychology and offender profiling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.479
H-Index - 22
eISSN - 1544-4767
pISSN - 1544-4759
DOI - 10.1002/jip.111
Subject(s) - offender profiling , profiling (computer programming) , bayesian probability , computer science , mathematical model , data science , econometrics , geography , machine learning , artificial intelligence , mathematics , statistics , bayesian network , operating system
We begin by describing some of the mathematical foundations of the geographic profiling problem. We then present a new mathematical framework for the geographic profiling problem based on Bayesian statistical methods that makes explicit connections between assumptions on offender behaviour and the components of the mathematical model. It also can take into account local geographic features that either influence the selection of a crime site or influence the selection of an offender's anchor point. Copyright © 2009 John Wiley & Sons, Ltd.