The geopolitical environment simulation and prediction platform aims at recognizing the international geopolitical situation and serving "the Belt and Road Initiative". The platform synthesizes 3DWebGIS and WebGL technologies, and integrates multi-scale geopolitical environment factors for geopolitical environment simulation and prediction research. Under the constraints of index system of geopolitical environmental factors and software engineering standards, this paper clarifies the overall architecture scheme of the platform, establishes the database of geopolitical environmental factors, and focuses on geopolitical environmental data management and comprehensive assessment. The platform has formed a system of technical methods of geopolitical environment simulation and prediction, providing a set of visualization and visual analysis means for geopolitical environment research. It is expected that its completion will provide geopolitical environment data support and software platform guarantee for the country's "the Belt and Road Initiative".
ZHANG Xun
,
LI Jiangtao
,
ZHANG Xiaohu
,
FU Jingying
,
WANG Dongming
. Construction of a geopolitical environment simulation and prediction platform coupling multi-source geopolitical environment factors[J]. Science & Technology Review, 2018
, 36(3)
: 55
-61
.
DOI: 10.3981/j.issn.1000-7857.2018.03.007
[1] 黄凤志. 对中蒙俄经济走廊建设的战略分析[J]. 人民论坛·学术前沿, 2016(13):62-73. Huang Fengzhi. Strategic analysis of the China-MongoliaRussia economic corridor[J]. People's Forum·Academic Frontiers, 2016(13):62-73.
[2] 王海燕."一带一路"视域下中蒙俄经济走廊建设的机制保障与实施路径[J]. 华东师范大学学报(哲学社会科学版), 2016, 48(5):112-118. Wang Haiyan. The mechanism guarantee and implementation of the construction of China-Mongolia-Russia economic corridor from the perspective of "One Belt and One Road"[J]. Journal of East China Normal University(Philosophy and Social Sciences), 2016, 48(5):112-118.
[3] 杜德斌, 马亚华."一带一路":中华民族复兴的地缘大战略[J]. 地理研究, 2015, 34(6):1005-1014. Du Debin, Ma Yahua. One Belt and One Road:The grand geo-strategy of China's rise[J]. Geographical Research, 2015, 34(6):1005-1014.
[4] 葛全胜, 江东, 陆锋, 等. 地缘环境系统模拟研究探讨[J]. 地理学报, 2017, 72(3):371-381. Ge Quansheng, Jiang Dong, Lu Feng, et al. Views on the study of geopolitical environment system simulation[J]. Acta Geographica Sinica, 2017, 72(3):371-381.
[5] 埃里克森·戈尔茨坦, 李楠. 中国、美国与21世纪海权[M]. 徐胜, 范晓婷, 王琦, 等, 译. 北京:海洋出版社, 2014. Erickson A S, Li Nan. China, the United States, and 21st century sea power[M]. Xu sheng, Fan Xiaoting, Wang Qi, et al, trans. Beijing:China Ocean Press, 2014.
[6] Agnew J. Geopolitics:Re-visioning world politics[M]. London and New York:Routledge, 2010.
[7] 陆大道, 杜德斌. 关于加强地缘政治地缘经济研究的思考[J]. 地理学报, 2013, 68(3):723-727. Lu Dadao, Du Debin. Some thoughts on the strengthening of geopolitical and geoeconomic studies[J]. Acta Geographica Sinica, 2013, 68(3):723-727.
[8] Herb G, Kaplan D. Nested identities:Nationalism, territory, and scale[M]. Boulder, CO:Rowman & Littlefield, 1999.
[9] 胡志丁, 葛岳静, 鲍捷, 等. 南亚地缘环境的空间格局与分异规律研究[J]. 地理科学, 2013, 33(6):685-692. Hu Zhiding, Ge Yuejing, Bao Jie, et al. The spatial pattern and differentiation laws of geo-setting in South Asia[J]. Scientia Geographic Sinica, 2013, 33(6):685-692.
[10] 王淑芳, 葛岳静, 刘玉立. 中美在南亚地缘影响力的时空演变及机制[J]. 地理学报, 2015, 70(6):864-878. Wang Shufang, Ge Yuejing, Liu Yuli. The spatio-temporal evolution and driving mechanism of geopolitical influence of China andthe US in SouthAsia[J]. Acta Geographica Sinica, 2015, 70(6):864-878.
[11] Rosswall T. The international geosphere-biosphere programme:A study of global change (IGBP)[J]. Environmental Geology, 1992, 20(2):77-78.
[12] 江东, 黄耀欢, 庄大方. 全球及中国周边地区资源环境科学数据库构建[J]. 地球信息科学学报, 2012, 14(5):592-598. Jiang Dong, Huang Yaohuan, Zhuang Dafang. Construction of global and China's surrounding regional resources and environmental science database[J]. Geo-Information Science, 2012, 14(5):592-598.
[13] 董卫华, 杨胜天, 葛岳静, 等. 中国周边地缘环境信息系统设计、开发与制图[M]. 北京:科学出版社, 2016. Dong Weihua, Yang Shengtian, Ge Yuejing, et al. Geographic environment information system design, development and mapping in China[M]. Beijing:Science Press, 2016.
[14] Cristianini Nello, Shawe-TaylorJohn. 支持向量机导论[M]. 北京:电子工业出版社, 2004. Cristianini Nello, Shawe-TaylorJohn. An introduction to support vector machines and other kernel-based learning methods[M]. Electronic Industry Press, 2004.
[15] 刘小生, 基于空间信息格网和BP神经网络的洪灾损失快速评估[M]. 北京:冶金工业出版社, 2015. Liu Xiaosheng. Rapid assessment of flood disaster based on spatial information grid and BP neural network[M]. Beijing:Metallurgical Industry Press, 2015.
[16] 徐建华. 现代地理学中的数学方法[M]. 北京:高等教育出版社, 2002. Xu Jianhua. Mathematical methods in contemporary geography[M]. Beijing:Higher Education Press, 2002.