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• W2486449306 abstract "This chapter summarizes several spatial analytic techniques for use in criminology research. The unique nature of spatial data is discussed along with a series of techniques used in the analysis of spatially-organized areal and point data. The topics covered include exploratory spatial data analysis, the construction of the spatial weights matrix, spatial autocorrelation, spatial regression, quadrat analysis, nearest neighbor analysis, and kernel density estimation. The chapter concludes with a discussion of three critical challenges that researchers must consider for spatial analysis: the appropriate scale of analysis, the interpretation and operationalization of distance, and the choice of neighbors as a means to formalize the spatial patterns of influence." @default.
• W2486449306 created "2016-08-23" @default.
• W2486449306 creator A5026009675 @default.
• W2486449306 date "2016-04-29" @default.
• W2486449306 modified "2023-09-23" @default.
• W2486449306 title "Spatial Analysis of Crime" @default.
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• W2486449306 doi "https://doi.org/10.1002/9781118868799.ch24" @default.
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