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

         

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  • 来源
    《地理学报(英文版)》 |2020年第5期|743-756|共14页
  • 作者单位

    Key Laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China;

    College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China;

    Institutes of Science and Development CAS Beijing 100190 China;

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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