Impacts of anthropogenic and biophysical factors on ecological land using logistic regression and random forest: A case study in Mentougou District, Beijing, China-Reference-Cited by-同舟云学术

Impacts of anthropogenic and biophysical factors on ecological land using logistic regression and random forest: A case study in Mentougou District, Beijing, China

Published:2022-02 Issue:2 Volume:19 Page:433-445
ISSN:1672-6316
Container-title:Journal of Mountain Science
language:en
Short-container-title:J. Mt. Sci.

Author:

Tian Chao^ORCID,Cheng Lin-lin^ORCID,Yin Ting-ting^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Earth-Surface Processes,Geology,Geography, Planning and Development,Global and Planetary Change

Link

https://link.springer.com/content/pdf/10.1007/s11629-021-7022-x.pdf

Reference60 articles.

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2. Bhattacharya RK, Chatterjee N, Das K, et al. (2021) Land use and land cover change and its resultant erosion susceptible level: an appraisal using RUSLE and Logistic Regression in a tropical plateau basin of West Bengal, India. Environ Dev Sustain 23: 1411–1446. https://doi.org/10.1007/S10668-020-00628-X

3. Cao V, Margni M, Favis BD, et al. (2015) Aggregated indicator to assess land use impacts in life cycle assessment (LCA) based on the economic value of ecosystem services. J Clean Prod 94: 56–66. https://doi.org/10.1016/j.jclepro.2015.01.041

4. Cheng LL, Liu M, Zhan JQ (2020) Land use scenario simulation of mountainous districts based on Dinamica EGO model. J Mt Sci 17(2): 289–303. https://doi.org/10.1007/s11629-019-5491-y

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