GIS 5100 Lab 6

This lab consisted of creating grid-based crime hotspot maps, as well as kernel density and local Moran's I maps. To create my final product, I started with doing a spatial join of the grids and the 2007 burglaries. To create the kernel density map, my parameters were set at cell size 100 and search radius ½ mile, and processing extent the same as the Grids shapefile, and after excluding all areas with a density of 0, found my mean density which was 35.16352718. Then I selected all areas with a density of 105.4905815 (three times the mean) using the Greater Than tool. For local Moran’s I, I did a spatial join for the block groups and 2007 burglaries, then created a field for the crime rate and determined that (#of burglaries / # of housing units * 1000). Ran the Cluster and Outlier Analysis and created a polygon for all of the high-high clusters.