Crime mapping and spatial analysis in national forests

Abstract

We examined the spatial distribution of crime incidents on USDA Forest Service lands using a geographic information system and several spatial analysis techniques. Our primary objective was to examine whether patterns existed in the spatial distribution of crime and to explore the relationship of patterns to other geographic features using the Forest Service and other databases. We analyzed a database containing over 45,000 spatially referenced crimes such as felanies, infractions, and misdemeanors. Other spatial data layers included transportation networks, administrative boundaries, hydrology, elevation, and digital orthophotographs. Results at a regional scale showed crime densities concentrated in forests adjacent to population centers and transportation corridors. Nearest neighbor, quartic kernel density estimation, and quadrat analyses identified crime patterning and hot spots. Our results suggest that managers can use these spatial techniques as decision support tools to better understand the relationship between natural resources and crime.