MODELING URBAN CRIME PATTERNS USING SPATIAL SPACE TIME and REGRESSION ANALYSIS

MODELING URBAN CRIME PATTERNS USING SPATIAL SPACE TIME and REGRESSION ANALYSIS

The population size, population density and rate of urbanization are often crediting to contributing increasing a crime pattern specially in city. Urbanism model stating that the rise in urban crime and social problems is based on three population indicators namely; size, density and heterogeneity....

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Bibliographic Details
Main Authors: Abdul Rahman A. (Author), Azri S. (Author), Dimyati, K.M (Author), Hashim, H. (Author), Hassan I. (Author), Musliman I.A (Author), Sadek, E.S.S.M (Author), Ujang U. (Author), Wan Mohd, W.M.N (Author)
Format: Article
Language:English
Published: International Society for Photogrammetry and Remote Sensing 2019
Subjects:
Confidence levels
Crime
crime mapping
Economic and social effects
emerging hot spot analysis
gis
Law-enforcement agencies
Location
Ordinary least squares
Population densities
Population distribution
Population dynamics
Population sizes
Population statistics
Regional planning
Regression analysis
Social problems
space time analysis
spatial regression
Spatial spaces
urban crime
Urban population
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