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Dissertation/Thesis Abstract

Algorithms and metrics for territorial design
by Goodrum, Richard A., Ph.D., Southern Methodist University, 2013, 130; 3606999
Abstract (Summary)

This research focuses on providing new tools for Territory Design planners. Variant Error, Compliance Index, and Design Similarity Index are proposed metrics developed to help planners distinguish between the qualities of multiple designs. Three algorithms are developed and applied to case study areas. The first algorithm provides an Agglomerative Optimization of facility selection. The second algorithm allows planners to view potential catchment areas for facilities based on facility capacity rather than equal population or distance criteria. Both of these algorithms rely on the production of a block adjacency list. The third algorithm speeds up the calculation of block adjacency lists from PostGIS databases which has the potential for many applications.

Indexing (document details)
Advisor: Matula, David W., Mikler, Armin R.
Commitee: Bing, Eric, Hahsler, Michael, Moore, Tyler, Nair, Suku, Olinick, Eli V.
School: Southern Methodist University
Department: Computer Science and Engineering
School Location: United States -- Texas
Source: DAI-B 75/04(E), Dissertation Abstracts International
Subjects: Computer science
Keywords: Adjacency lists, Optimization, Partitioning, PostGIS database, Territorial design
Publication Number: 3606999
ISBN: 978-1-303-64363-7
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