Multivariate areal aggregated crime analysis through cross correlation

Phillips, Peter, and Lee, Ickjai (2008) Multivariate areal aggregated crime analysis through cross correlation. In: Proceedings of 2008 International Symposium on Intelligent Information Technology Application, pp. 1-4. From: 2008 International Workshop on Geoscience and Remote Sensing, 21-22 December, 2008, Shanghai, China.

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Abstract

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 ID: 7644
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: voronoi diagram; crime analysis; cross correlation
ISBN: 978-0-7695-3505-0
Date Deposited: 14 Jul 2010 22:43
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%
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