A review of spatio-temporal pattern analysis approaches on crime analysis

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dialnet-ar-18-ART00007325092016-09-16A review of spatio-temporal pattern analysis approaches on crime analysisLeong, KelvinSung, AnnaSpatio-temporal pattern analysisData miningKnowledge discoveryCrime analysisThis review aims to summarize spatio-temporal pattern analysis approaches for crime analysis. Spatio-temporal pattern analysis is a process that obtains knowledge from geoand- time-referenced data and creates knowledge for crime analysts. In practice, knowledge needs vary amongst different situations. In order to obtain relevant types of knowledge, different types of spatio-temporal pattern analysis approaches should be used. However, there is a lack of related systematic review which discussed how to obtain related knowledge from different types of spatio-temporal crime pattern. This paper summarizes spatio-temporal patterns into five major categories: (i) spatial pattern, (ii) temporal pattern, (iii) frequent spatio-temporal pattern, (iv) unusual spatio-temporal pattern and (v) spatio-temporal effect due to intervention. In addition, we also discuss what knowledge could be obtained from these patterns, and what corresponding approaches, including various data mining techniques, could be used to find them. The works of this paper could provide a reference for crime analysts to select appropriate spatio-temporal pattern analysis approaches according to their knowledge needs.Universidad del País Vasco2015text (article)application/pdfhttps://dialnet.unirioja.es/servlet/oaiart?codigo=4948370(Revista) ISSN 1988-7949International e-journal of criminal sciences, ISSN 1988-7949, Nº. 9, 201533 pags. engLICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI

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International e-journal of criminal sciences, ISSN 1988-7949, Nº. 9, 201533 pags.

English

Spatio-temporal pattern analysis
Data mining
Knowledge discovery
Crime analysis

Spatio-temporal pattern analysis
Data mining
Knowledge discovery
Crime analysis
Leong, Kelvin
Sung, Anna
A review of spatio-temporal pattern analysis approaches on crime analysis

This review aims to summarize spatio-temporal pattern analysis approaches for crime analysis. Spatio-temporal pattern analysis is a process that obtains knowledge from geoand- time-referenced data and creates knowledge for crime analysts. In practice, knowledge needs vary amongst different situations. In order to obtain relevant types of knowledge, different types of spatio-temporal pattern analysis approaches should be used. However, there is a lack of related systematic review which discussed how to obtain related knowledge from different types of spatio-temporal crime pattern. This paper summarizes spatio-temporal patterns into five major categories: (i) spatial pattern, (ii) temporal pattern, (iii) frequent spatio-temporal pattern, (iv) unusual spatio-temporal pattern and (v) spatio-temporal effect due to intervention. In addition, we also discuss what knowledge could be obtained from these patterns, and what corresponding approaches, including various data mining techniques, could be used to find them. The works of this paper could provide a reference for crime analysts to select appropriate spatio-temporal pattern analysis approaches according to their knowledge needs.

Article

Leong, Kelvin
Sung, Anna

Leong, Kelvin
Sung, Anna

Leong, Kelvin

A review of spatio-temporal pattern analysis approaches on crime analysis

A review of spatio-temporal pattern analysis approaches on crime analysis

A review of spatio-temporal pattern analysis approaches on crime analysis

A review of spatio-temporal pattern analysis approaches on crime analysis

A review of spatio-temporal pattern analysis approaches on crime analysis

review of spatio-temporal pattern analysis approaches on crime analysis

Universidad del País Vasco

2015

https://dialnet.unirioja.es/servlet/oaiart?codigo=4948370

1709714437491916800