Asheville Crime Analysis

GHY 3800 | Intro to Quantitative Methods

     Using data derived from the City of Asheville's "Crime Mapper" application, I sought to find non-violent crime hot spots within its city limits by using clustering techniques and "nearest neighbor" algorithms in ArcGIS. These generated crime hot spots were compared to city parcel data and a positive, statistically significant, correlation between the clusters and parcel values was found. The incorporation of GIS and quantitative techniques resulted in output information that could aid the City of Asheville in preventing further crime. I have included the formal written report along with the slides I used to present my methods and findings.