Multivariate areal aggregated crime analysis through cross correlation

Conference Publication ResearchOnline@JCU
Phillips, Peter;Lee, Ickjai
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.

Journal

N/A

Publication Name

2008 International Workshop on Geoscience and Remote Sensing

Volume

N/A

ISBN/ISSN

978-0-7695-3505-0

Edition

N/A

Issue

N/A

Pages Count

4

Location

Shanghai, China

Publisher

IEEE Computer Society

Publisher Url

N/A

Publisher Location

Los Alamitos, Calif.

Publish Date

N/A

Url

N/A

Date

N/A

EISSN

N/A

DOI

10.1109/ETTandGRS.2008.210