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
Link To Document :
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