Objective diagnosis of machine learning method applicability to land comprehensive carrying capacity evaluation: A case study based on integrated RF and DPSIR models

Objective diagnosis of machine learning method applicability to land comprehensive carrying capacity evaluation: A case study based on integrated RF and DPSIR models

The evaluation of land comprehensive carrying capacity (LCCC) is a popular topic in regional sustainable development and land science research. However, these evaluations are often not objective due to the complexity and nonlinear characteristics of the LCCC evaluation indicators. This study provide...

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Bibliographic Details
Main Authors:	Wenmin Hu, Shibo Zhang, Yushan Fu, Guanyu Jia, Ruihan Yang, Shouyun Shen, Yi Li, Guo Li
Format:	Article
Language:	English
Published:	Elsevier 2023-07-01
Series:	Ecological Indicators
Subjects:	Land comprehensive carrying capacity Random forest DPSIR model Support vector machine Land use
Online Access:	http://www.sciencedirect.com/science/article/pii/S1470160X23004806

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