Dynamic pattern analysis framework for cooperative crime prevention

Kelvin Leong; Junco Li; Stephen Chan; Vincent To Yee Ng

doi:10.1109/CSCWD.2008.4537125

Dynamic pattern analysis framework for cooperative crime prevention

Kelvin Leong, Junco Li, Stephen Chan, Vincent To Yee Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Pages	1053-1058
Number of pages	6
Volume	2
DOIs	https://doi.org/10.1109/CSCWD.2008.4537125
Publication status	Published - 10 Sept 2008
Event	2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD - Xi'an, China Duration: 16 Apr 2008 → 18 Apr 2008

Conference

Conference	2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Country/Territory	China
City	Xi'an
Period	16/04/08 → 18/04/08

Keywords

Cooperative crime prevention
Pattern analysis
Spatial pattern

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/CSCWD.2008.4537125

Cite this

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title = "Dynamic pattern analysis framework for cooperative crime prevention",

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keywords = "Cooperative crime prevention, Pattern analysis, Spatial pattern",

author = "Kelvin Leong and Junco Li and Stephen Chan and Ng, {Vincent To Yee}",

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Leong, K, Li, J, Chan, S & Ng, VTY 2008, Dynamic pattern analysis framework for cooperative crime prevention. in Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD. vol. 2, 4537125, pp. 1053-1058, 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD, Xi'an, China, 16/04/08. https://doi.org/10.1109/CSCWD.2008.4537125

Dynamic pattern analysis framework for cooperative crime prevention. / Leong, Kelvin; Li, Junco; Chan, Stephen et al.
Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD. Vol. 2 2008. p. 1053-1058 4537125.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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Dynamic pattern analysis framework for cooperative crime prevention

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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