Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm

TANG Zhipeng, MEI Ziao, LIU Weidong, XIA Yan

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Journal of Geographical Sciences ›› 2020, Vol. 30 ›› Issue (5) : 743-756. DOI: 10.1007/s11442-020-1753-4

Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2020, 30(5): 743-756 https://doi.org/10.1007/s11442-020-1753-4

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