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A Spatial Classification of Criminal Offenders: Moving Beyond Circle Theory with an Agent-Based Model Approach

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dc.contributor.advisor Rice, Matthew
dc.contributor.author Campbell, Jared
dc.creator Campbell, Jared
dc.date 2019-05-17
dc.date.accessioned 2019-07-02T16:24:45Z
dc.date.available 2019-07-02T16:24:45Z
dc.identifier.uri https://hdl.handle.net/1920/11536
dc.description.abstract This thesis builds a spatial classification of criminal offenders and uses agent-based modeling and spatial analysis to demonstrate the validity of this classification. Existing literature is reviewed for foundation definitions related to the spatial behavior of criminal offenders and for research into spatial types of criminal offenders. Key findings and gaps found in this literature are presented with updated foundation definitions and an updated spatial classification of offenders. An agent-based model is developed as a proof of concept to this spatial classification of offenders and to simulate the emergent behavior of these offender types. The data produced by the agent-based model is used to review Circle Theory and to conduct a spatial analysis of the resulting patterns of criminal offenses. An assessment of Circle Theory is made followed by the first steps in developing a decision tree for classifying spatial types of criminal offenders. These efforts demonstrate the validity of the five proposed spatial offender types; that Circle Theory is fundamentally flawed in its current state but may still have validity in classifying spatial offender types; and that a criminal offender can be spatially classified through an analysis of their criminal offense locations.
dc.language.iso en en_US
dc.subject agent-based model en_US
dc.subject geographic profiling en_US
dc.subject routine activities theory en_US
dc.subject commuters and marauders en_US
dc.subject serial crime en_US
dc.subject criminal spatial behavior en_US
dc.title A Spatial Classification of Criminal Offenders: Moving Beyond Circle Theory with an Agent-Based Model Approach en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Geoinformatics and Geospatial Intelligence en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Geoinformatics and Geospatial Intelligence en_US
thesis.degree.grantor George Mason University en_US


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