Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach

• Fangyu Ding,

  Affiliations Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

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• Quansheng Ge ,

  * E-mail: geqs@igsnrr.ac.cn (QG); jiangd@igsnrr.ac.cn (DJ)

  Affiliations Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

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• Dong Jiang ,

  * E-mail: geqs@igsnrr.ac.cn (QG); jiangd@igsnrr.ac.cn (DJ)

  Affiliations Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

  http://orcid.org/0000-0002-4154-5969

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• Jingying Fu,

  Affiliations Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

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• Mengmeng Hao

  Affiliations Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

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