Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (7): 871-880.doi: 10.1007/s11442-018-1510-0

• Special Issue: Geopolitical Environment Simulation on the Belt and Road Region •     Next Articles

Spatio-temporal simulation of the geopoliticalenvironment system

Quansheng GE1,2(), Dong JIANG1,2,3,*(), Feng LU1,2, Jingying FU1,2, Shaoqiang WANG1,2, Xiangzheng DENG1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land & Resource, Beijing 100038, China;
  • Received:2017-08-26 Online:2018-07-20 Published:2018-07-20
  • Contact: Dong JIANG E-mail:geqs@igsnrr.ac.cn;jiangd@igsnrr.ac.cn
  • About author:

    Author: Ge Quansheng (1963-), Professor, specialized in climate change and geopolitical system. E-mail: geqs@igsnrr.ac.cn

  • Supported by:
    Major Program of Chinese Academy of Sciences, No.ZDRW-ZS-2016-6

Abstract:

Geographical circumstances are the fundamental background for all kinds of geopolitical events. The geopolitical environment system (GES) refers to a system that combines both physical and anthropogenic subsystems. Research on the geopolitical environment system simulation is a key to understanding the international geopolitical phenomenon. The theory of GES arose from the integration of the traditional geopolitics and earth system sciences. As an interdisciplinary system composed of many different fields, integrated reviews and a metadata study of GES are urgently needed. This paper presents a comprehensive view into the origination and advance of the GES theory. The conceptual framework of the GES is described in detail. The methodology for simulating and forecasting geopolitical events is also provided. It is proposed that the core topics of the GES science may include, but are not limited to, issues as data acquisition technologies; principles on the interactions between multiple subsystems (or factors) at different scales; evaluating and mitigating the global geopolitical risks, including the political risks, economic risks, the social risks, the environmental risks and the technological risks; and forecasting the geopolitical events with machine learning and artificial intelligence techniques.

Key words: geopolitical environment system, geopolitical conflicts, risk mitigation, big data analysis