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Dynamic Pattern Analysis Framework for cooperative crime prevention

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4 Author(s)
Leong, K. ; Sch. of Accounting & Finance, Hong Kong Polytech. Univ., Hong Kong ; Junco Li ; Chan, S. ; Ng, V.

Spatial analysis plays a key role in crime prevention. Traditional approaches such as clustering can find static patterns but do not consider the change of spatial patterns over time. In this paper, we introduce a new analysis framework, dynamic pattern analysis framework (DPA framework) focusing on two types of related dynamic patterns: the displacement or diffusion of spatial patterns over time and the similarity between spatial patterns of different periods. The new framework aims to support cooperative crime prevention in a district of Hong Kong.

Published in:

Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on

Date of Conference:

16-18 April 2008