Multivariate areal aggregated crime analysis through cross correlation
Phillips, Peter, and Lee, Ickjai (2008) Multivariate areal aggregated crime analysis through cross correlation. Proceedings of 2008 International Symposium on Intelligent Information Technology Application. 2008 International Workshop on Geoscience and Remote Sensing , 21-22 December, 2008, Shanghai, China , pp. 1-4.
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Intelligent crime analysis allows for a greater understanding of the dynamics of unlawful activities. Discovering crime and spatial features that exhibit strong correlation allows a deeper insight into the complex question of crime analysis. To effectively search heterogeneous data types for cross correlation, a spatial multivariate association measure can be used. We demonstrate a bivariate spatial association approach for crime analysis that can be extended to extract multivarite cross correlation. It is able to extract the top-k and bottom-k associative features from areal aggregated datasets. Experimental results demonstrate our approach using real crime datasets.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||voronoi diagram; crime analysis; cross correlation|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080604 Database Management @ 50%|
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified @ 50%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 70%|
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 30%
|Deposited On:||15 Jul 2010 08:43|
|Last Modified:||03 May 2013 15:07|
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