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Addressing Geographic Uncertainty In Spatial Optimization

Abstract There exist many facets of error and uncertainty in digital spatial information. As error or uncertainty will not likely ever be completely eliminated, a better understanding of its impacts is necessary. Spatial analytical approaches, in particular, must somehow address data quality issues. This can range from evaluating impacts of potential data uncertainty in planning processes that make use of methods to devising methods that explicitly account for error/uncertainty. To date, little has been done to structure methods accounting for error. This research focuses on developing methods to address geographic data uncertainty in spatial optimization. An integrated approach that characterizes uncertainty impacts by constructing and solving a ne... (more)
Created Date 2013
Contributor Wei, Ran (Author) / Murray, Alan T (Advisor) / Anselin, Luc (Committee member) / Rey, Segio J (Committee member) / Mack, Elizabeth A (Committee member) / Arizona State University (Publisher)
Subject Geography / Geographic information science and geodesy / dispersion / Spatial optimization / uncertainty
Type Doctoral Dissertation
Extent 123 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Geography 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis