Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China

10.3390/su11030660

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Main Authors: Cao, K, Guo, H, Zhang, Y
Other Authors: GEOGRAPHY
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/175005
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1750052024-04-04T06:31:08Z Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China Cao, K Guo, H Zhang, Y GEOGRAPHY ARCHITECTURE accuracy assessment classification comparative study functional change machine learning numerical model satellite imagery spatial data urban area urban planning China Chongqing Gansu Yuzhong 10.3390/su11030660 Sustainability (Switzerland) 11 3 660 2020-09-09T02:59:15Z 2020-09-09T02:59:15Z 2019 Article Cao, K, Guo, H, Zhang, Y (2019). Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China. Sustainability (Switzerland) 11 (3) : 660. ScholarBank@NUS Repository. https://doi.org/10.3390/su11030660 20711050 https://scholarbank.nus.edu.sg/handle/10635/175005 Unpaywall 20200831
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic accuracy assessment
classification
comparative study
functional change
machine learning
numerical model
satellite imagery
spatial data
urban area
urban planning
China
Chongqing
Gansu
Yuzhong
spellingShingle accuracy assessment
classification
comparative study
functional change
machine learning
numerical model
satellite imagery
spatial data
urban area
urban planning
China
Chongqing
Gansu
Yuzhong
Cao, K
Guo, H
Zhang, Y
Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
description 10.3390/su11030660
author2 GEOGRAPHY
author_facet GEOGRAPHY
Cao, K
Guo, H
Zhang, Y
format Article
author Cao, K
Guo, H
Zhang, Y
author_sort Cao, K
title Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
title_short Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
title_full Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
title_fullStr Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
title_full_unstemmed Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China
title_sort comparison of approaches for urban functional zones classification based on multi-source geospatial data: a case study in yuzhong district, chongqing, china
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/175005
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