Research on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China
The research on the grid size suitability is important to provide improvement in accuracies of gridded population distribution. It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population...
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| description | The research on the grid size suitability is important to provide improvement in accuracies of gridded population distribution. It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population dataset are basically built at a single grid scale. If the grid cell size is not appropriate, it will result in spatial information loss or data redundancy. Therefore, in order to capture the desired spatial variation of population within the area of interest, it is necessary to conduct research on grid size suitability. This study summarized three expressed levels to analyze grid size suitability, which include location expressed level, numeric information expressed level, and spatial relationship expressed level. This study elaborated the reasons for choosing the five indexes to explore expression suitability. These five indexes are consistency measure, shape index rate, standard deviation of population density, patches diversity index, and the average local variance. The suitable grid size was determined by constructing grid size-indicator value curves and suitable grid size scheme. Results revealed that the three expressed levels on 10m grid scale are satisfying. And the population distribution raster data with 10m grid size provide excellent accuracy without loss. The 10m grid size is recommended as the appropriate scale for generating a high-quality gridded population distribution in our study area. Based on this preliminary study, it indicates the five indexes are coordinated with each other and reasonable and effective to assess grid size suitability. We also suggest choosing these five indexes in three perspectives of expressed level to carry out the research on grid size suitability of gridded population distribution. |
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It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population dataset are basically built at a single grid scale. If the grid cell size is not appropriate, it will result in spatial information loss or data redundancy. Therefore, in order to capture the desired spatial variation of population within the area of interest, it is necessary to conduct research on grid size suitability. This study summarized three expressed levels to analyze grid size suitability, which include location expressed level, numeric information expressed level, and spatial relationship expressed level. This study elaborated the reasons for choosing the five indexes to explore expression suitability. These five indexes are consistency measure, shape index rate, standard deviation of population density, patches diversity index, and the average local variance. The suitable grid size was determined by constructing grid size-indicator value curves and suitable grid size scheme. Results revealed that the three expressed levels on 10m grid scale are satisfying. And the population distribution raster data with 10m grid size provide excellent accuracy without loss. The 10m grid size is recommended as the appropriate scale for generating a high-quality gridded population distribution in our study area. Based on this preliminary study, it indicates the five indexes are coordinated with each other and reasonable and effective to assess grid size suitability. We also suggest choosing these five indexes in three perspectives of expressed level to carry out the research on grid size suitability of gridded population distribution.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0170830</identifier><identifier>PMID: 28122050</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Case reports ; Case studies ; Cell size ; China ; Current distribution ; Datasets ; Earth Sciences ; Engineering and Technology ; Environmental aspects ; Geography ; Humans ; Mathematical analysis ; Mathematical models ; Metropolitan areas ; Models, Theoretical ; Natural resources ; Neurons ; People and Places ; Physical Sciences ; Population Density ; Population distribution ; Population studies ; Redundancy ; Research and Analysis Methods ; Science ; Spatial data ; Spatial distribution ; Urban areas ; Urban Population</subject><ispartof>PloS one, 2017-01, Vol.12 (1), p.e0170830-e0170830</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Dong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Dong et al 2017 Dong et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-603af111e341d063459fb0db3663571a50a1548915986e0d5fd2d886dceac1f73</citedby><cites>FETCH-LOGICAL-c725t-603af111e341d063459fb0db3663571a50a1548915986e0d5fd2d886dceac1f73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5266320/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5266320/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28122050$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sun, Gui-Quan</contributor><creatorcontrib>Dong, Nan</creatorcontrib><creatorcontrib>Yang, Xiaohuan</creatorcontrib><creatorcontrib>Cai, Hongyan</creatorcontrib><creatorcontrib>Xu, Fengjiao</creatorcontrib><title>Research on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The research on the grid size suitability is important to provide improvement in accuracies of gridded population distribution. It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population dataset are basically built at a single grid scale. If the grid cell size is not appropriate, it will result in spatial information loss or data redundancy. Therefore, in order to capture the desired spatial variation of population within the area of interest, it is necessary to conduct research on grid size suitability. This study summarized three expressed levels to analyze grid size suitability, which include location expressed level, numeric information expressed level, and spatial relationship expressed level. This study elaborated the reasons for choosing the five indexes to explore expression suitability. These five indexes are consistency measure, shape index rate, standard deviation of population density, patches diversity index, and the average local variance. The suitable grid size was determined by constructing grid size-indicator value curves and suitable grid size scheme. Results revealed that the three expressed levels on 10m grid scale are satisfying. And the population distribution raster data with 10m grid size provide excellent accuracy without loss. The 10m grid size is recommended as the appropriate scale for generating a high-quality gridded population distribution in our study area. Based on this preliminary study, it indicates the five indexes are coordinated with each other and reasonable and effective to assess grid size suitability. We also suggest choosing these five indexes in three perspectives of expressed level to carry out the research on grid size suitability of gridded population distribution.</description><subject>Biology and Life Sciences</subject><subject>Case reports</subject><subject>Case studies</subject><subject>Cell size</subject><subject>China</subject><subject>Current distribution</subject><subject>Datasets</subject><subject>Earth Sciences</subject><subject>Engineering and Technology</subject><subject>Environmental aspects</subject><subject>Geography</subject><subject>Humans</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Metropolitan areas</subject><subject>Models, Theoretical</subject><subject>Natural resources</subject><subject>Neurons</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Population Density</subject><subject>Population distribution</subject><subject>Population 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One</addtitle><date>2017-01-25</date><risdate>2017</risdate><volume>12</volume><issue>1</issue><spage>e0170830</spage><epage>e0170830</epage><pages>e0170830-e0170830</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The research on the grid size suitability is important to provide improvement in accuracies of gridded population distribution. It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population dataset are basically built at a single grid scale. If the grid cell size is not appropriate, it will result in spatial information loss or data redundancy. Therefore, in order to capture the desired spatial variation of population within the area of interest, it is necessary to conduct research on grid size suitability. This study summarized three expressed levels to analyze grid size suitability, which include location expressed level, numeric information expressed level, and spatial relationship expressed level. This study elaborated the reasons for choosing the five indexes to explore expression suitability. These five indexes are consistency measure, shape index rate, standard deviation of population density, patches diversity index, and the average local variance. The suitable grid size was determined by constructing grid size-indicator value curves and suitable grid size scheme. Results revealed that the three expressed levels on 10m grid scale are satisfying. And the population distribution raster data with 10m grid size provide excellent accuracy without loss. The 10m grid size is recommended as the appropriate scale for generating a high-quality gridded population distribution in our study area. Based on this preliminary study, it indicates the five indexes are coordinated with each other and reasonable and effective to assess grid size suitability. We also suggest choosing these five indexes in three perspectives of expressed level to carry out the research on grid size suitability of gridded population distribution.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28122050</pmid><doi>10.1371/journal.pone.0170830</doi><tpages>e0170830</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Biology and Life Sciences Case reports Case studies Cell size China Current distribution Datasets Earth Sciences Engineering and Technology Environmental aspects Geography Humans Mathematical analysis Mathematical models Metropolitan areas Models, Theoretical Natural resources Neurons People and Places Physical Sciences Population Density Population distribution Population studies Redundancy Research and Analysis Methods Science Spatial data Spatial distribution Urban areas Urban Population |
| title | Research on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China |
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