Space-time variability in burglary risk: A Bayesian spatio-temporal modelling approach

Spatial Statistics

Volumn 9, Issue C, 2014, Pages 180-191

  Li, G ^a   Haining, R ^b   Richardson, S ^b   Best, N ^c  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Crime hotspots; Local variation; Regression; Space time classification; Spatial random effects; Stable variation

Indexed keywords

EID: 84898707374     PISSN: 22116753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spasta.2014.03.006     Document Type: Article

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