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).

CPEC  /  geopolitical risks  /  intelligent recognition  /  machine learning