Algorithms and metrics for territorial design
<p> 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...
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ndltd-PROQUEST-oai-pqdtoai.proquest.com-36069992014-02-14T03:56:20Z Algorithms and metrics for territorial design Goodrum, Richard A. Computer Science <p> 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.</p> Southern Methodist University 2014-02-13 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=3606999 EN |
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EN |
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Computer Science |
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Computer Science Goodrum, Richard A. Algorithms and metrics for territorial design |
description |
<p> 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.</p> |
author |
Goodrum, Richard A. |
author_facet |
Goodrum, Richard A. |
author_sort |
Goodrum, Richard A. |
title |
Algorithms and metrics for territorial design |
title_short |
Algorithms and metrics for territorial design |
title_full |
Algorithms and metrics for territorial design |
title_fullStr |
Algorithms and metrics for territorial design |
title_full_unstemmed |
Algorithms and metrics for territorial design |
title_sort |
algorithms and metrics for territorial design |
publisher |
Southern Methodist University |
publishDate |
2014 |
url |
http://pqdtopen.proquest.com/#viewpdf?dispub=3606999 |
work_keys_str_mv |
AT goodrumricharda algorithmsandmetricsforterritorialdesign |
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1716647593555001344 |