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| Intelligent recognition of risk levels of geopolitical system for South Asia |
| LIN Gang1, DING Fangyu1,2, FU Jingying1,2, YANG Xuefei3, HAN Quan4 |
1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of Earth Science and Resource, Chang'an University, Xi'an 710064, China;
4. College of Geoscience and Surveying Engineering, China University of Mining & Technology(Beijing), Beijing 100083, China |
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Abstract: A fast and accurate recognition of risk levels of geopolitical system for the typical regions of "the Belt and Road Initiative" can provide scientific support for the geopolitical strategy. The geopolitical system is not only influenced by climate and geographic environment but also hemmed by nationality, religion, civilization, ideology, political system and development level. Solutions to those problems not only depend on interdisciplinary work but also need cross-border study. Based on the geosystem theory, this paper makes a systematic study of literature, and firstly presents an evaluation index system for geopolitical risks. Then, it provides a machine learning method to evaluate the geopolitical risk levels of South Asia region based on the multiscale and multidata sources global geo-environment database. It is expected to provide a scientific support for the China Pakistan Economic Corridor(CPEC).
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Received: 12 November 2017
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2018, Vol. 36 
