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International Conference on Intelligence and Security Informatics

ISI 2003: Intelligence and Security Informatics pp 153–167Cite as

Decision Based Spatial Analysis of Crime

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2665))

Abstract

Spatial analysis of criminal incidents is an old and important technique used by crime analysts. However, most of this analysis considers the aggregate behavior of criminals rather than individual spatial behavior. Recent advances in the modeling of spatial choice and data mining now enable us to better understand and predict individual criminal behavior in the context of their environment. In this paper, we provide a methodology to analyze and predict the spatial behavior of criminals by combining data mining techniques and the theory of discrete choice. The models based on this approach are shown to improve the prediction of future crime locations when compared to traditional hot spot analysis.

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Author information

Authors and Affiliations

  1. Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, 22904, USA

    Yifei Xue & Donald E. Brown

Authors
  1. Yifei Xue
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  2. Donald E. Brown
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, University of Arizona, Tucson, AZ, 85721, USA

    Hsinchun Chen , Daniel D. Zeng  & Therani Madhusudan ,  & 

  2. Tucson Police Department, 270 S. Stone Ave., Tucson, AZ, 85701, USA

    Richard Miranda  & Jenny Schroeder  & 

  3. School of Public Administration and Policy, University of Arizona, Tucson, AZ, 85721, USA

    Chris Demchak

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© 2003 Springer-Verlag Berlin Heidelberg

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Xue, Y., Brown, D.E. (2003). Decision Based Spatial Analysis of Crime. In: Chen, H., Miranda, R., Zeng, D.D., Demchak, C., Schroeder, J., Madhusudan, T. (eds) Intelligence and Security Informatics. ISI 2003. Lecture Notes in Computer Science, vol 2665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44853-5_12

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  • DOI: https://doi.org/10.1007/3-540-44853-5_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40189-6

  • Online ISBN: 978-3-540-44853-2

  • eBook Packages: Springer Book Archive

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