Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns

Computers, Environment and Urban Systems

Volumn 39, Issue , 2013, Pages 93-106

  Wang, Dawei ^a   Ding, Wei ^a   Lo, Henry ^a   Morabito, Melissa ^b   Chen, Ping ^e   Salazar, Josue ^c   Stepinski, Tomasz ^d  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

^c Rice University   (United States)

^d UNIVERSITY OF CINCINNATI   (United States)

^e UNIVERSITY OF HOUSTON   (United States)

Author keywords

Crime related variable; Footprint; Geospatial Discriminative Pattern; Hotspot Optimization Tool

Indexed keywords

FOOTPRINT; GEO-SPATIAL; OPTIMIZATION TOOLS; PREDICTING CRIMES; RELATED VARIABLES; SIGNIFICANT DIFFERENCES; SIMILARITY MEASURE; SPATIAL DATA MINING;

DATA PROCESSING; OPTIMIZATION;

CRIME;

CLUSTER ANALYSIS; COMPUTER SIMULATION; CRIME; DISCRIMINANT ANALYSIS; SPATIAL DATA; SPATIAL DISTRIBUTION; VISUALIZATION;

EID: 84876310932     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2013.01.008     Document Type: Article

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