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Clustering Urban Multifunctional Landscapes Using the Self-Organizing Feature Map Neural Network Model

Auteur(s): (Ph.D. Candidate, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, China.)
(Ph.D. Candidate, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, China.)
(Ph.D. Candidate, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, China.)
(Graduate Student, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, China; and Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate School,)
(Professor, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, China (corresponding author).)
(Ph.D. Candidate, School of Economics and Finance, Xi’an Jiaotong Univ., Xi’an 710061, China.)
Médium: article de revue
Langue(s): anglais
Publié dans: Journal of Urban Planning and Development, , n. 2, v. 140
Page(s): 05014001
DOI: 10.1061/(asce)up.1943-5444.0000170
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1061/(asce)up.1943-5444.0000170.
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  • Reference-ID
    10587204
  • Publié(e) le:
    08.03.2021
  • Modifié(e) le:
    08.03.2021