• Journal of Geo-information Science
  • Vol. 22, Issue 4, 784 (2020)
Dong JIANG1、1、2、2, Shuai CHEN1、1、2、2, Jingying FU1、1、2、2, and Mengmeng HAO1、1、2、2、*
Author Affiliations
  • 1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 1中国科学院地理科学与资源研究所,北京 100101
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • 2中国科学院大学资源与环境学院,北京 100049
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    DOI: 10.12082/dqxxkx.2020.200147 Cite this Article
    Dong JIANG, Shuai CHEN, Jingying FU, Mengmeng HAO. Review on the Construction of Global Armed Conflict Data System Supported by GIS[J]. Journal of Geo-information Science, 2020, 22(4): 784 Copy Citation Text show less

    Abstract

    Geopolitical environment security is an important part of national security. Accurate, refined and timely updated information of various types of geopolitical conflicts is the basis of global geopolitical risk assessment and early warning. Based on the armed conflict datasets, this paper comprehensively reviewed the development of the global geopolitical conflict data system, and analyzed the application progress of geo-spatial and temporal positioning, big data mining and other technologies. Under the support of Geographic Information System (GIS) technology, the understanding of the connotation of armed conflict and the general framework of the data system of armed conflict events has been deepened, a large number of high-quality datasets or data products have been produced. Geopolitical conflicts are gradually refined in the theme, the spatial positioning accuracy of conflict events developed from country to smaller scale geographical location (longitude and latitude). Supported by network information search and big data mining technology, the update frequency of armed conflict events increased from annually update to hourly update, the construction of global armed conflict data system has achieved initial results. The deep integration of geo-environmental system science and geographical science, the wide application of geographic big data and artificial intelligence technology will be the important driving forces for the development of this discipline.
    Dong JIANG, Shuai CHEN, Jingying FU, Mengmeng HAO. Review on the Construction of Global Armed Conflict Data System Supported by GIS[J]. Journal of Geo-information Science, 2020, 22(4): 784
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