• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • MS-GIST (Master's Reports)
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • MS-GIST (Master's Reports)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Tackling Tree Equity: Social and Economic Predictors of Urban Tree Canopy in Tucson, AZ

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Boyer_MSGIST_Masters_Report.pdf
    Size:
    1.099Mb
    Format:
    PDF
    Description:
    Master's Report
    Download
    Author
    Boyer, Jessica Caitlin
    Issue Date
    2021-08-20
    Keywords
    Tree Canopy
    Spatial regression
    Global warming
    Tree equity
    Climate vulnerability
    Advisor
    Christopherson, Gary
    
    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
    Urban tree canopy provides essential ecosystem services to cities, from improving human wellbeing and health to reducing the urban heat island effect. However, previous studies have shown that tree canopy is often inequitably distributed. In 2019, Tucson was named the 3rd fastest-warming city in the United States. In response, the city government implemented the Tucson Million Trees initiative to help mitigate rising temperatures in the desert city. In an effort to make tree canopy more equitable, this study intends to determine what factors contribute to tree inequity in Tucson so that these factors can be considered in decision-making for tree-planting locations. Using existing data from the Pima Association of Governments, average tree canopy in each census block group was determined. This tree canopy data was tested against 26 variables commonly associated with tree inequity using exploratory regression. Regression analysis identified a seven-variable model with positive correlations between average tree canopy and population density, median household income, percent population with a bachelor’s degree, percent rental households, white population, and vacant households. The model showed negative correlations between tree canopy and percent population living alone. We hope that the results of this study can guide decision makers within the Tucson city government to prioritize block groups using the variables identified as predictors of tree canopy.
    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)

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.