Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13967
Title: Dynamic pattern analysis framework for cooperative crime prevention
Authors: Leong, K
Li, J
Chan, S 
Ng, V 
Keywords: Spatial pattern
Cooperative crime prevention
Pattern analysis
Issue Date: 2008
Publisher: IEEE
Source: 12th International Conference on Computer Supported Cooperative Work in Design, 2008 : CSCWD 2008, 16-18 April 2008, Xi'an, p. 1053-1058 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/13967
ISBN: 978-1-4244-1650-9
978-1-4244-1651-6 (E-ISBN)
DOI: 10.1109/CSCWD.2008.4537125
Appears in Collections:Conference Paper

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