Exploratory Spatial Data Analysis of the Distribution of Multiple Crimes: A Case Study of Three Coastal Cities
© 2016, © 2016 Applied Geography Conferences. The study aims to explore global and local spatial autocorrelation and characterize the way crime activities are located in three coastal cities. Using three crime types (Burglary, Larceny, and Auto theft) in the cities of Mobile, Alabama and Pensacola, Florida, as well as Miami, Florida over the years 2005–2006, we compute a global spatial autocorrelation statistic, as well as local Moran autocorrelation statistics (Moran scatterplot) in order to detect clusters of high and low crime rates. Results showed high in global spatial autocorrelation statistic in three cities. Also, all three crimes show significant spatial autocorrelation at local level. There are little “atypical” regions i.e. deviating from the global pattern of positive autocorrelation.
Papers in Applied Geography
Sim, S., & Miller, A. (2016). Exploratory Spatial Data Analysis of the Distribution of Multiple Crimes: A Case Study of Three Coastal Cities. Papers in Applied Geography. Retrieved from https://ir.una.edu/geography_facpub/25