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Effects of Endogenous Factors on Regional Land-Use Carbon Emissions Based on the Grossman Decomposition Model: A Case Study of Zhejiang Province, China.
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- Environmental Management, 2015, v. 55, n. 2, p. 467, doi. 10.1007/s00267-014-0406-8
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Comparing machine learning methods for predicting land development intensity.
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- PLoS ONE, 2023, v. 18, n. 4, p. 1, doi. 10.1371/journal.pone.0282476
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- Article
Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship.
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- International Journal of Environmental Research & Public Health, 2022, v. 19, n. 15, p. 9068, doi. 10.3390/ijerph19159068
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- Article
Spatio-temporal patterns and response processes of the integrated development of urban and rural regional functions in the Yangtze River Economic Belt.
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- China Population Resources & Environment, 2024, v. 34, n. 1, p. 160, doi. 10.12062/cpre.20231010
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Spatial–Temporal Differentiation and Driving Factors of Cultivated Land Use Transition in Sino–Vietnamese Border Areas.
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- Land (2012), 2024, v. 13, n. 2, p. 165, doi. 10.3390/land13020165
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- Article
Spatial differences and influence mechanisms of construction land development intensity in China, 2002–2020.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-36819-5
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- Article