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New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum
The clear boundary between urban and rural areas is gradually disappearing, and urban and rural areas are two poles of a gradient with many continuous human settlements in between, which is a concept known as the rural–urban continuum. Little is known about the distribution and change trajectories o...
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Published in: | Land (Basel) 2023-08, Vol.12 (8), p.1607 |
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description | The clear boundary between urban and rural areas is gradually disappearing, and urban and rural areas are two poles of a gradient with many continuous human settlements in between, which is a concept known as the rural–urban continuum. Little is known about the distribution and change trajectories of the various types in the rural–urban continuum across the globe. Therefore, using global land-cover data (FROM-GLC Plus) and global population data (Worldpop) based on the decision-making tree method, this study proposed a method and classification system for global rural–urban continuum mapping and produced the mapping results on a global scale in the Google Earth Engine platform. With the expansion of built-up areas and the increase in population, the global human settlements follow the pattern that develops from wildland to villages (isolated—sparse—dense), and then to towns (sparse—dense), and finally to urban areas (edge—center). From a regional perspective, there are some obvious differences: Africa is dominated by sparse villages; Asia has the highest proportion of densely clustered towns; the proportion of dense villages in Europe is high. Rural–urban continuum mapping and analysis provide a database and new insights into urbanization and differences between urban and rural areas around the world. |
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Little is known about the distribution and change trajectories of the various types in the rural–urban continuum across the globe. Therefore, using global land-cover data (FROM-GLC Plus) and global population data (Worldpop) based on the decision-making tree method, this study proposed a method and classification system for global rural–urban continuum mapping and produced the mapping results on a global scale in the Google Earth Engine platform. With the expansion of built-up areas and the increase in population, the global human settlements follow the pattern that develops from wildland to villages (isolated—sparse—dense), and then to towns (sparse—dense), and finally to urban areas (edge—center). From a regional perspective, there are some obvious differences: Africa is dominated by sparse villages; Asia has the highest proportion of densely clustered towns; the proportion of dense villages in Europe is high. Rural–urban continuum mapping and analysis provide a database and new insights into urbanization and differences between urban and rural areas around the world.</description><identifier>ISSN: 2073-445X</identifier><identifier>EISSN: 2073-445X</identifier><identifier>DOI: 10.3390/land12081607</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>change trajectories ; Classification ; Decision making ; Distribution ; Environmental aspects ; Human settlements ; Identification and classification ; Land cover ; Land settlement ; land system ; Mapping ; Measurement ; Population density ; Population growth ; regional differences ; Regions ; Rural areas ; Rural-urban fringe areas ; rural–urban continuum ; Satellite imaging ; Towns ; Trends ; Urban areas ; urban expansion ; Urbanization ; Villages</subject><ispartof>Land (Basel), 2023-08, Vol.12 (8), p.1607</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Little is known about the distribution and change trajectories of the various types in the rural–urban continuum across the globe. Therefore, using global land-cover data (FROM-GLC Plus) and global population data (Worldpop) based on the decision-making tree method, this study proposed a method and classification system for global rural–urban continuum mapping and produced the mapping results on a global scale in the Google Earth Engine platform. With the expansion of built-up areas and the increase in population, the global human settlements follow the pattern that develops from wildland to villages (isolated—sparse—dense), and then to towns (sparse—dense), and finally to urban areas (edge—center). From a regional perspective, there are some obvious differences: Africa is dominated by sparse villages; Asia has the highest proportion of densely clustered towns; the proportion of dense villages in Europe is high. Rural–urban continuum mapping and analysis provide a database and new insights into urbanization and differences between urban and rural areas around the world.</description><subject>change trajectories</subject><subject>Classification</subject><subject>Decision making</subject><subject>Distribution</subject><subject>Environmental aspects</subject><subject>Human settlements</subject><subject>Identification and classification</subject><subject>Land cover</subject><subject>Land settlement</subject><subject>land system</subject><subject>Mapping</subject><subject>Measurement</subject><subject>Population density</subject><subject>Population growth</subject><subject>regional differences</subject><subject>Regions</subject><subject>Rural areas</subject><subject>Rural-urban fringe areas</subject><subject>rural–urban continuum</subject><subject>Satellite imaging</subject><subject>Towns</subject><subject>Trends</subject><subject>Urban areas</subject><subject>urban expansion</subject><subject>Urbanization</subject><subject>Villages</subject><issn>2073-445X</issn><issn>2073-445X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkc1uFDEMx0cIJKrSGw8QiStb8jWZyXFZQbtSAQmoxG3kTJxtVrPJkmRUtSfeoW_YJyHdRaj2wX9Z9s-W3TRvGT0XQtMPEwTLOO2Zot2L5oTTTiykbH-9fKZfN2c5b2k1zUQv25Pm9iveknXIfnNTMvGhRHKdDAR_D8XHQD5CRkuquJiigYl8gf3ehw2pw8gywHSXfSbRkct5B4H8wFIm3GE4sEi5QfJ9TjA9_nk4UMkqhuLDPO_eNK8cTBnP_sXT5vrzp5-ry8XVt4v1anm1GIUSZSFAj5byXtPRYO8MKCfAOa21M6plCjg6RC24ctJQpluwvbS8VQZlp5wTp836yLURtsM--R2kuyGCHw6JmDYDpOLHCQfeW24tVVR2WvJWGIN21FYh60VnmKysd0fWPsXfM-YybOOc6hFy7W07RjvJea06P1ZtoEJ9cLEkGKtb3PkxBnS-5ped4nVOr5-w748NY4o5J3T_12R0eHrt8Py14i9GfZiA</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Li, Xiyu</creator><creator>Yu, Le</creator><creator>Chen, Xin</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4959-8894</orcidid><orcidid>https://orcid.org/0000-0002-4892-3870</orcidid><orcidid>https://orcid.org/0000-0003-3115-2042</orcidid></search><sort><creationdate>20230801</creationdate><title>New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum</title><author>Li, Xiyu ; Yu, Le ; Chen, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-3a9cd02890cbe8fba6f3aff999fb6516a2efee9326f4b0195ad84d256be476ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>change trajectories</topic><topic>Classification</topic><topic>Decision making</topic><topic>Distribution</topic><topic>Environmental aspects</topic><topic>Human settlements</topic><topic>Identification and classification</topic><topic>Land cover</topic><topic>Land settlement</topic><topic>land system</topic><topic>Mapping</topic><topic>Measurement</topic><topic>Population density</topic><topic>Population growth</topic><topic>regional differences</topic><topic>Regions</topic><topic>Rural areas</topic><topic>Rural-urban fringe areas</topic><topic>rural–urban continuum</topic><topic>Satellite imaging</topic><topic>Towns</topic><topic>Trends</topic><topic>Urban areas</topic><topic>urban expansion</topic><topic>Urbanization</topic><topic>Villages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiyu</creatorcontrib><creatorcontrib>Yu, Le</creatorcontrib><creatorcontrib>Chen, Xin</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>Directory of Open Access Journals (Open Access)</collection><jtitle>Land (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiyu</au><au>Yu, Le</au><au>Chen, Xin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum</atitle><jtitle>Land (Basel)</jtitle><date>2023-08-01</date><risdate>2023</risdate><volume>12</volume><issue>8</issue><spage>1607</spage><pages>1607-</pages><issn>2073-445X</issn><eissn>2073-445X</eissn><abstract>The clear boundary between urban and rural areas is gradually disappearing, and urban and rural areas are two poles of a gradient with many continuous human settlements in between, which is a concept known as the rural–urban continuum. 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subjects | change trajectories Classification Decision making Distribution Environmental aspects Human settlements Identification and classification Land cover Land settlement land system Mapping Measurement Population density Population growth regional differences Regions Rural areas Rural-urban fringe areas rural–urban continuum Satellite imaging Towns Trends Urban areas urban expansion Urbanization Villages |
title | New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum |
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