Fang Ren, Ph.D.
Douglas M. Flewelling, Ph.D.
The City of Redlands crime rate has increased over the past 20 years, which has led to a need for a better understanding of why this is happening. In order to look at this problem in an effective and interactive manner, the City and law enforcement agencies would like to incorporate animated maps that show the crime densities over the past 20 years. To create these density maps, crime data will be analyzed using a model built in Model Builder, to accurately assess the crime densities. Once the maps are created in ArcMap, the maps can be exported and the animation toolbar will be incorporated to animate the results visually. This will show a story of crime over the past 20 years allowing law enforcement and the City to understand the crime patterns. To further understand crime patterns the project utilized linear regression tools. After running the regression tools significant variables were identified. These variables influence crime types. Ultimately, it is perceived that being able to see the crime densities over the past 20 years and knowing the variables that influence crime will help solve future problems.
Drallos-Kopecky, S. (2010). Analyzing Historical Crime Data for the City of Redlands in California (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/67