RT Article
T1 A review of spatio-temporal pattern analysis approaches on crime analysis
JF International e-journal of criminal sciences
VO 9
SP 1
OP 33
A1 Leong, Kelvin
A2 Sung, Anna
LA English
YR 2015
UL https://krimdok.uni-tuebingen.de/Record/1840485671
AB 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.
NO Literaturverzeichnis: Seite 27-33
K1 Crime analysis
K1 Data Mining
K1 Knowledge discovery
K1 Spatio-temporal pattern analysis