A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation

Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as the popular kernel density estimation (KDE) do not consider the temporal dimension of crime. Building upon recent works in related fields, this article proposes a spatio-temporal framework for predictive h...

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Bibliographic Details
Published in:	Applied geography (Sevenoaks) Vol. 99; pp. 89 - 97
Main Authors:	Hu, Yujie, Wang, Fahui, Guin, Cecile, Zhu, Haojie
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2018
Subjects:	Baton rouge case studies crime Crime hotspot prediction Louisiana Optimal bandwidth Predictive accuracy index (PAI) curve Residential burglary Significance test Spatio-temporal kernel density estimation (STKDE) Louisiana Significance test Predictive accuracy index (PAI) curve Spatio-temporal kernel density estimation (STKDE) Crime hotspot prediction Optimal bandwidth Residential burglary Baton rouge
ISSN:	0143-6228, 1873-7730
Online Access:	Get full text
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