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Multiscale spatiotemporal patterns of crime: a Bayesian cross-classified multilevel modelling approach
Matthew Quick
Research output
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Contribution to journal
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Article
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peer-review
11
Scopus citations
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Dive into the research topics of 'Multiscale spatiotemporal patterns of crime: a Bayesian cross-classified multilevel modelling approach'. Together they form a unique fingerprint.
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Business & Economics
Violent Crime
100%
Multilevel Modeling
90%
Crime
69%
Patterning
23%
Spatial Scale
23%
Civic Engagement
22%
Central Business District
22%
Urban Planning
21%
Law Enforcement
21%
Multilevel Models
20%
Urban Environment
19%
Local Government
18%
Cross-sectional Data
17%
Overlapping
17%
Land Use
17%
Police
15%
Policymaker
13%
Government
9%
Social Sciences
violent crime
57%
offense
43%
Recreational land
25%
Police patrols
20%
urban planning
13%
land use
13%
law enforcement
12%
district
9%
event
7%
Earth & Environmental Sciences
crime
79%
modeling
27%
central business district
13%
law enforcement
12%
police
11%
local government
9%
urban planning
9%
population size
9%
land use
6%
policy
5%