• DocumentCode
    2729454
  • Title

    A mathematical modeling approach for geographical profiling and crime prediction

  • Author

    Zheng, Xifan ; Cao, Yang ; Ma, Zhiyu

  • Author_Institution
    Dept. of Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    500
  • Lastpage
    503
  • Abstract
    Criminal geographical profile is a methodology of investigation, which makes use of correlation between crime location and crime base of criminal to find out the most probable place of the crime base. We introduce a model to predict the future serial crime location with aid of criminal geographic profiling and the time and locations of past crime scenes. In this model, we take the effect of distance decay and the local geographic features into consideration and formulate a probability density function of the future serial crime site to realize the prediction.
  • Keywords
    criminal law; geographic information systems; probability; crime prediction; distance decay; future serial crime site; geographical profiling; mathematical modeling approach; probability density function; Accuracy; Data models; Equations; Integrated circuits; Mathematical model; Measurement; Predictive models; crime prediction; geographical profile; modeling; rossmo model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982362
  • Filename
    5982362