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

Author(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.)
Medium: journal article
Language(s): English
Published in: Journal of Urban Planning and Development, , n. 2, v. 140
Page(s): 05014001
DOI: 10.1061/(asce)up.1943-5444.0000170
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)up.1943-5444.0000170.
  • About this
    data sheet
  • Reference-ID
    10587204
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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