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.
![[img]](https://researchonline.jcu.edu.au/style/images/fileicons/application_pdf.png) |
PDF (Published Version)
Restricted to Repository staff only |
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 (Research - E1) |
| ISBN: | 978-0-7695-3505-0 |
| Keywords: | voronoi diagram; crime analysis; cross correlation |
| 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% |
| Downloads: |
Total: 3 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |