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- W20194748 abstract "crime incident locations. One such technique is the application of spatial statistics to analyze geographic phenomena. Spatial statistics can address whether geographic patterns exist. Spatial patterns can be described as occurring randomly, systematically, or in a clustered configuration. A random pattern indicates that there is a low probability of geographic influence on spatial distribution. A systematic pattern is one that occurs at regular intervals while a clustered pattern is a collection of features that are grouped. Systematic or clustered patterns that are statistically significant warrant closer inspection and may specify where to focus crime prevention or mitigation efforts. Building on our earlier efforts (Wing and Tynon 2006), we used several additional geospatial analytical techniques including quadrat analysis, nearest neighbor analysis (NNA), and nearest neighbor hierarchical (NNH) clustering. We also used Kolmogorov–Smirnov (K–S) and variance– mean ratio tests to examine the statistical significance of spatial patterns in the crime incident database. We found these tools to be beneficial in identifying crime incident relationships contained within a large, complex" @default.
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- W20194748 date "2008-01-01" @default.
- W20194748 modified "2023-09-26" @default.
- W20194748 title "Revisiting the Spatial Analysis of Crime in National Forests" @default.
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