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    COMPARATIVE ANALYSIS OF PRECIPITATION AND POPULATION DATA IN ARIZONA USING ARCGIS PRO AND QGIS

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    Name:
    MS-GIST_2024_Horvat.pdf
    Size:
    4.263Mb
    Format:
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    Description:
    MS-GIST Report
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    Author
    Horvat, Autumn
    Issue Date
    2024
    Keywords
    Precipitation Analysis
    Population Analysis
    Census Data
    ArcGIS Pro
    QGIS
    Geospatial Analysis
    Advisor
    Korgaonkar, Yoga
    
    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
    This project assesses the efficacy of ArcGIS Pro and QGIS for conducting geospatial analysis utilizing precipitation, temperature, and census data across Arizona. The primary data sources are annual precipitation data from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) and U.S. Census population data from the United States Census Bureau from 2010 to 2020. Temperature and precipitation data were analyzed in both ArcGIS Pro and QGIS to showcase rainfall and temperature disbursement across Arizona’s census tracts. Population density was calculated and normalized in each platform to evaluate each platform’s capability and usability. Both platform’s geoprocessing tools uncover spatial trends throughout the state. A series of tables and maps were created to display these results. The results highlight the strengths and shortcomings of ArcGIS Pro and QGIS in managing large datasets containing demographic and environmental data. This project offers insight into ArcGIS Pro and QGIS proficiency for similar geospatial analyses.
    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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