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A Spatial Statistical Framework for Evaluating Landscape Pattern and Its Impacts on the Urban Thermal Environment


Abstract Urban growth, from regional sprawl to global urbanization, is the most rapid, drastic, and irreversible form of human modification to the natural environment. Extensive land cover modifications during urban growth have altered the local energy balance, causing the city warmer than its surrounding rural environment, a phenomenon known as an urban heat island (UHI). How are the seasonal and diurnal surface temperatures related to the land surface characteristics, and what land cover types and/or patterns are desirable for ameliorating climate in a fast growing desert city? This dissertation scrutinizes these questions and seeks to address them using a combination of satellite remote sensing, geographical information science, and spatial stati... (more)
Created Date 2016
Contributor Fan, Chao (Author) / Myint, Soe W (Advisor) / Li, Wenwen (Committee member) / Rey, Sergio J (Committee member) / Arizona State University (Publisher)
Subject Geographic information science and geodesy / Remote sensing / Statistics / landscape pattern / multicollinearity / spatial configuration / spatial dependence
Type Doctoral Dissertation
Extent 160 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Geography 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis