Urban comprehensive carrying capacity analysis in Zhejiang Province of China from the perspective of production, living, and ecological spaces-Reference-Cited by-同舟云学术

Urban comprehensive carrying capacity analysis in Zhejiang Province of China from the perspective of production, living, and ecological spaces

Published:2024-02-08 Issue: Volume: Page:1-20
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Wu Xueling¹²^ORCID,Peng Bo¹^ORCID

Affiliation:

1. School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

2. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2292578

Reference61 articles.

1. Land-Use Classifying and Identification of the Production-Living-Ecological Space of Island Villages—A Case Study of Islands in the Western Sea Area of Guangdong Province

2. Coordination evaluation and obstacle factors recognition analysis of water resource spatial equilibrium system

3. Influence Mechanism of Production-Living-Ecological Space Changes in the Urbanization Process of Guangdong Province, China

4. A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method

5. Du, M., Z. H. Xu, L. M. Peng, Y. H. Zhu, and X. F. Xu. 2010. “Comprehensive Evaluation of Water Resources Carrying Capacity of Jining City.” International Conference on Energy, Environment and Development (ICEED), Kuala Lumpur, MALAYSIA, December 8-9.

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