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Visualizing the spatial movement patterns of offenders

Published: 06 November 2012 Publication History

Abstract

Within spatial analysis, the decision-making process of individuals involves six interconnected and fundamental elements: current location, destination, distances, and directions, time budgets and type of activity, all of which influence the movement of people in their environment. In this paper we develop a visualization technique allowing for the display of the aggregate travel paths of offenders in order to identify patterns with it. We show that the patterns in the movement for offenders follows that of the major travel routes within the area and is centered in locations of the city-hubs. Results also indicate that significant movement of offenders occur between cities, not just within cities. Consequently, it is shown that urban form and understanding place play a strong role in criminal patterns and offender movement through the city landscape.

References

[1]
Brantingham, P. J. and Brantingham, P. L. (1993). Environment, Routine, and Situation: Toward a Pattern Theory of Crime. Routine Activity and Rational Choice, Advances in Criminological Theory, volume 5, edited by Ronald Clarke and Marcus Felson. New Brunswick, NJ: Transaction Publishers.
[2]
Frank, R., Andresen, M. A., Cheng, C., Brantingham, P. L., "Finding Criminal Attractors based on Offenders' Directionality of Crimes", Proc. European Intelligence and Security Informatics Conference (EISIC). Athens, Greece, 2011
[3]
Iwanski, N., Frank, R., Reid, A., Dabbaghian, V., (2012). A Computational Model for Predicting the Location of Crime Attractors on a Road Network, Proc. European Intelligence and Security Informatics Conference (EISIC)
[4]
Frank, R., Andresen, M. A., and Brantingham, P. L. Visualizing the directional bias in property crime incidents for five Canadian municipalities. Canadian Geographer, in press. 2012
[5]
ESRI ArcGIS. Line Density. 2012 http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//009z0000000t000000.htm
[6]
Xuejiao C., Zhifeng W., Jiong C. Using kernel density estimation to assess the spatial pattern of road density and its impact on landscape fragmentation, International Journal of Geographical Information Science, 2012
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Silverman, B. W., Density Estimation for Statistics and Data Analysis, New York: Chapman and Hall, 1986.

Cited By

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  • (2021)A study on the journey to homicide and offender characteristics in SpainJournal of Investigative Psychology and Offender Profiling10.1002/jip.156818:2(81-100)Online publication date: 18-Jan-2021
  • (2019)VisualizationEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_67(1769-1775)Online publication date: 20-Feb-2019
  • (2018)VisualizationEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_67-1(1-8)Online publication date: 19-Apr-2018
  • Show More Cited By

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  1. Visualizing the spatial movement patterns of offenders

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    cover image ACM Conferences
    SIGSPATIAL '12: Proceedings of the 20th International Conference on Advances in Geographic Information Systems
    November 2012
    642 pages
    ISBN:9781450316910
    DOI:10.1145/2424321

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 November 2012

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    Author Tags

    1. flow volume
    2. line density
    3. offender movement
    4. visualization

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    View all
    • (2021)A study on the journey to homicide and offender characteristics in SpainJournal of Investigative Psychology and Offender Profiling10.1002/jip.156818:2(81-100)Online publication date: 18-Jan-2021
    • (2019)VisualizationEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_67(1769-1775)Online publication date: 20-Feb-2019
    • (2018)VisualizationEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_67-1(1-8)Online publication date: 19-Apr-2018
    • (2016)HadoopViz: A MapReduce framework for extensible visualization of big spatial data2016 IEEE 32nd International Conference on Data Engineering (ICDE)10.1109/ICDE.2016.7498274(601-612)Online publication date: May-2016
    • (2013)Crime RidgesProceedings of the 2013 European Intelligence and Security Informatics Conference10.1109/EISIC.2013.18(75-82)Online publication date: 12-Aug-2013

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