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Empirical approach to threshold determination for the delineation of built-up areas with road network data

Various approaches have been proposed to address the delineation of built-up areas for a wide range of applications. Recently developed approaches are based on the increasing availability of road network data. However, most approaches have employed one or more parameters to divide built-up from non-...

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Detalles Bibliográficos
Autores principales: Zhou, Qi, Guo, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870989/
https://www.ncbi.nlm.nih.gov/pubmed/29584753
http://dx.doi.org/10.1371/journal.pone.0194806
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author Zhou, Qi
Guo, Lei
author_facet Zhou, Qi
Guo, Lei
author_sort Zhou, Qi
collection PubMed
description Various approaches have been proposed to address the delineation of built-up areas for a wide range of applications. Recently developed approaches are based on the increasing availability of road network data. However, most approaches have employed one or more parameters to divide built-up from non-built-up areas. Very few studies have discussed how to determine appropriate thresholds for such parameters. This study employed an empirical approach for threshold determination, and validated that the approach is applicable for the delineation of built-up areas using road network data. A series of experiments were designed to investigate the most-appropriate thresholds (determined using a similarity measure) for multiple parameters of three existing approaches (street blocks, grid-based, and kernel density) with regard to different administrative regions and cities/towns. The results show that in most cases, the most-appropriate thresholds or ranges for different subdivisions are either identical or overlap—thus validating the use of the most-appropriate thresholds to delineate built-up areas for one or multiple small subdivisions and, by inference, for a much larger region.
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spelling pubmed-58709892018-04-06 Empirical approach to threshold determination for the delineation of built-up areas with road network data Zhou, Qi Guo, Lei PLoS One Research Article Various approaches have been proposed to address the delineation of built-up areas for a wide range of applications. Recently developed approaches are based on the increasing availability of road network data. However, most approaches have employed one or more parameters to divide built-up from non-built-up areas. Very few studies have discussed how to determine appropriate thresholds for such parameters. This study employed an empirical approach for threshold determination, and validated that the approach is applicable for the delineation of built-up areas using road network data. A series of experiments were designed to investigate the most-appropriate thresholds (determined using a similarity measure) for multiple parameters of three existing approaches (street blocks, grid-based, and kernel density) with regard to different administrative regions and cities/towns. The results show that in most cases, the most-appropriate thresholds or ranges for different subdivisions are either identical or overlap—thus validating the use of the most-appropriate thresholds to delineate built-up areas for one or multiple small subdivisions and, by inference, for a much larger region. Public Library of Science 2018-03-27 /pmc/articles/PMC5870989/ /pubmed/29584753 http://dx.doi.org/10.1371/journal.pone.0194806 Text en © 2018 Zhou, Guo http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhou, Qi
Guo, Lei
Empirical approach to threshold determination for the delineation of built-up areas with road network data
title Empirical approach to threshold determination for the delineation of built-up areas with road network data
title_full Empirical approach to threshold determination for the delineation of built-up areas with road network data
title_fullStr Empirical approach to threshold determination for the delineation of built-up areas with road network data
title_full_unstemmed Empirical approach to threshold determination for the delineation of built-up areas with road network data
title_short Empirical approach to threshold determination for the delineation of built-up areas with road network data
title_sort empirical approach to threshold determination for the delineation of built-up areas with road network data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870989/
https://www.ncbi.nlm.nih.gov/pubmed/29584753
http://dx.doi.org/10.1371/journal.pone.0194806
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