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    Phoenix High Crimes: Exploring the Spatial Relationship Between Crimes and Dispensaries

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    Name:
    MS-GIST_2023_Miller.pdf
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    Description:
    MS-GIST Report
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    Author
    Miller, Steven
    Issue Date
    2023-08
    Keywords
    Phoenix
    Crime
    Marijuana Dispensaries
    Police Grid
    OLS Regression
    Advisor
    Lukinbeal, Chris
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Collection Information
    This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.
    Abstract
    Wherever societies have formed; there always been crime. Unfortunately, Phoenix Arizona is no exception. High crime rates have been a mark on the city since the late 60’s and continue to be a significant issue to this day. This project investigates the spatial relationship between crime and the location of marijuana dispensaries throughout the city. The dispensary locations are compared to results from community swimming pools, public sports complexes, police stations, hospitals, convenience stores, specifically Circle K and QuikTrip (QT) locations in the city limits of Phoenix Arizona. The crime data for this project has been collected from November 2018 to April 2023 by the Phoenix Police Department and the shapefile is set up in a grid system based largely on Phoenix city blocks. The crimes used in the data include homicides, rapes, robberies, aggravated assaults, burglaries, thefts, motor vehicle thefts, arsons, and drug offenses. This project uses the Ordinary Least Squares regression techniques to determine the relationship between crime, dispensaries, and the other variables. Dispensaries were found to have a positive relationship with crime, although the model did not perform strongly and contained bias. No one variable was able to produce a strong performance, but perhaps future studies will be able to combine more socioeconomic and other demographic variables to find stronger Adjusted R-Squared values.
    Type
    Electronic Report
    text
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Geographic Information Systems Technology
    Degree Grantor
    University of Arizona
    Collections
    MS-GIST (Master's Reports)

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