[1] 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(6):723-727.
[2] 胡志丁, 陆大道, 杜德斌, 等. 未来十年中国地缘政治学重点研究方向[J]. 地理研究, 2017,36(2):205-214.
[3] 地缘政治演变驱动力变化与地缘政治学研究新趋势[J]. 地理研究, 35, 3-13(2016).
[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):371-81.
[5] 江东, 王倩, 丁方宇. 大数据时代的地缘环境研究[J]. 科技导报, 2018,36(3):41-48. [ JiangD, WangQ, DingF Y. Research on the geo-environment in the era of big data[J]. Science & Technology Review, 2018,36(3):41-48. ] [ Jiang D, Wang Q, Ding F Y. Research on the geo-environment in the era of big data[J]. Science & Technology Review, 2018,36(3):41-48. ]
[6] The "Correlates of War" project: Interim report and rationale[J]. World Politics, 24, 243-270(1972).
[7] The conflict and peace data bank (COPDAB) project[J]. Journal of Conflict Resolution, 24, 143-152(1980).
[8] Warnings in the international event flow: EFI and ROZ as threat indicators[J]. International Interactions, 5, 135-202(1979).
[9] 唐永胜, 刘东哲, 陈晓东. 冷战后全球武装冲突的特点及演变[J]. 现代国际关系, 2008(8):1-9. [ TangY S, LiuD Z, ChenX D. Post-cold war international armed conflict: Features and evolution[J]. Contemporary International Relations, 2008(8):1-9. ] [ Tang Y S, Liu D Z,Chen X D. Post-cold war international armed conflict: Features and evolution[J]. Contemporary International Relations, 2008(8):1-9. ]
[10] Resort to arms: International and civil wars: 1816-1980[M]. New York: Sage(1980).
[11] [M]. Resort to War: 1816-2007 Correlates of War(2010).
[12] et alArmed conflict at the end of the Cold War, 1989-1992[J]. Journal of Peace Research, 30, 331-346(1993).
[13] et alArmed conflict 1946-2001: A new dataset[J]. Journal of Peace Research, 39, 615-637(2002).
[14] Militarized interstate disputes, 1816-1976: procedures, patterns, and insights[J]. Journal of Conflict Resolution, 28, 585-616(1984).
[15] The MID3 data set, 1993-2001: procedures, coding rules, and description[J]. Conflict Management Peace Science, 21, 133-154(2014).
[17] Escalation at the outset: An analysis of targets’ responses in militarized interstate disputes[J]. International Interactions, 23, 1-35(1997).
[18] How and when armed conflicts end: Introducing the UCDP conflict rermination dataset[J]. Journal of Peace Research, 47, 243-250(2010).
[19] Violence against civilians: A disaggregated analysis[J]. International Interactions, 38, 462-481(2012).
[20] et alThe CAMEO (conflict and mediation event observations) actor coding framework[M]. Washington DC: American Political Science Association(2005).
[21] 吴长义. 第二次大战后的150多次武装冲突[J]. 现代外国哲学社会科学文摘, 1981(6):60-61. [ WuC Y. More than 150 armed conflicts after the Second World War[J]. Digest of Foreign Social Sciences, 1981(6):60-61. ] [ Wu C Y. More than 150 armed conflicts after the Second World War[J]. Digest of Foreign Social Sciences, 1981(6):60-61. ]
[22] 贵琳. 一九九七年世界地区冲突索引[J]. 国际研究参考, 1998(1):22-24. [ GuiL. 1997 world regional conflict index[J]. International Research Reference, 1998(1):22-24. ] [ Gui L. 1997 world regional conflict index[J]. International Research Reference, 1998(1):22-24. ]
[23] 张宇燕, 李东燕, 邹治波. 全球政治与安全报告(2020)[M]. 北京: 社会科学文献出版社, 2020. [ Annual report on international politics and security(2020)[M]. Beijing: Social Sciences Academic Press, 2020. ] [ Annual report on international politics and security(2020)[M]. Beijing: Social Sciences Academic Press, 2020. ]
[24] 阎学通. 中外关系鉴览:1950-2005:中国与大国关系定量衡量[M]. 北京: 高等教育出版社, 2010. [ YanX T. Sino Foreign Relations: 1950-2005: quantitative measurement of China's relations with major countries[M]. Beijing: Higher Education Press, 2010. ] [ Yan X T. Sino Foreign Relations: 1950-2005: quantitative measurement of China's relations with major countries[M]. Beijing: Higher Education Press, 2010. ]
[25] 董青岭. 从事件赋值走向关系赋值:双边关系的定量衡量——评《中外关系鉴览1950-2005——中国与大国关系定量衡量》[J]. 外交评论(外交学院学报), 2011,28(2):154-155. [ DongQ L. From event assignment to relationship assignment: quantitative measurement of bilateral relationship: A review of the review of Sino foreign relations 1950-2005: quantitative measurement of China's relations with major countries[J]. Foreign Affairs Review, 2011,28(2):154-155. ] [ Dong Q L. From event assignment to relationship assignment: quantitative measurement of bilateral relationship: A review of the review of Sino foreign relations 1950-2005: quantitative measurement of China's relations with major countries[J]. Foreign Affairs Review, 2011,28(2):154-155. ]
[26] 郭锐, 王箫轲. 国际关系定量研究与数据库建设——评《中外关系鉴览1950-2005——中国与大国关系定量衡量》[J]. 世界经济与政治, 2011(7):128-139, 59-60. [ GuoR, WangX K. Quantitative research on international relations and database construction: A review of the review of Sino foreign relations 1950-2005: Quantitative measurement of China's relations with major countries[J]. World Economics and Politics, 2011(7):128-139, 59-60. ] [ Guo R, Wang X K. Quantitative research on international relations and database construction: A review of the review of Sino foreign relations 1950-2005: Quantitative measurement of China's relations with major countries[J].World Economics and Politics, 2011(7):128-139,59-60. ]
[27] 周建仁. 国家双边关系的定量衡量:突破与局限——评《中外关系鉴览1950-2005:中国与大国关系定量衡量》[J]. 欧洲研究, 2011,29(1):143-152,61. [ ZhouJ R. Quantitative measurement of bilateral relations: breakthrough and limitation: A review of the review of Sino foreign relations 1950-2005: Quantitative measurement of China's relations with major countries[J]. Chinese Journal of European Studies, 2011,29(1):143-152,61. ] [ Zhou J R. Quantitative measurement of bilateral relations: breakthrough and limitation: A review of the review of Sino foreign relations 1950-2005: Quantitative measurement of China's relations with major countries[J]. Chinese Journal of European Studies, 2011,29(1):143-152,61. ]
[28] 周亦奇, 封帅. 安全风险分析的方法创新与实践——以“一带一路”政治安全风险数据库建设为例[J]. 国际展望, 2017,9(5):147-166, 73-74. [ ZhouY Q, FengS. Innovation and practice of one method of safety risk one case study of "one belt, one road" political security risk database[J]. Global Review, 2017,9(5):147-166, 73-74. ] [ Zhou Y Q, Feng S. Innovation and practice of one method of safety risk one case study of "one belt, one road" political security risk database[J]. Global Review, 2017,9(5):147-166,73-74. ]
[29] et alSimulating the linkages between economy and armed conflict in India with a long short‐term memory algorithm[J]. Risk Analysis(2020).
[31] Research on geo-environment analysis method and modeling based on GIS. Zhengzhou: PLA Information Engineering University(2017).
[34] Predicting conflict in space and time[J]. Journal of Conflict Resolution, 54, 883-901(2010).
[35] The effect of the spatial resolution of conflict data on the analysis of drought as a determinant of civil war onset: Africa, 1980-2001[J]. Consilience, 52-64(2008).
[36] Ethno-nationalist dyads and civil war: A GIS-based analysis[J]. Journal of Conflict Resolution, 53, 496-525(2009).
[37] Parallel event sequences in international crises[J]. Political Behavior, 12, 97-123(1990).
[38] A new event data framework for the analysis of foreign policy interactions[M]. New Orleans: International Studies Association(2000).
[39] Crisis early warning and decision support: contemporary approaches and thoughts on future research[J]. International Studies Review, 12, 87-104(2010).
[40] GDELT: Global data on events, location and tone, 1979-2012[J]. In ISA Annual Convention, 2, 1-49(2013).
[41] Predicting social unrest using GDELT[C]. Proceedings of the International Conference on Machine Learning and Data Mining in Pattern Recognition,Springer(2018).
[42] et alPredicting social unrest events with hidden Markov models using GDELT[J]. Discrete Dynamics in Nature and Society, 1-13(2017).
[43] et alGraph-based method for detecting occupy protest events using gdelt dataset[C]. Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, IEEE(2015).
[44] Predicting future levels of violence in Afghanistan districts using GDELT[J]. State College: The Pennsylvania State University(2013).
[45] et alDetecting and forecasting domestic political crises: A graph-based approach[C]. Proceedings of the 2014 ACM conference on Web science(2014).
[46] Machine learning on big data for stock market prediction[J]. Carbondale: Southern Illinois University(2017).
[47] Using sentiment data from the global database for events, language and tone (GDELT) to predict short-term stock price developments[J]. Enschede: University of Twente(2019).
[48] Predicting Saudi stock market index by incorporating GDELT using multivariate time series modelling[C]. Proceedings of the International Conference on Computing(2019).
[49] 王树良, 丁刚毅, 钟鸣. 大数据下的空间数据挖掘思考[J]. 中国电子科学研究院学报, 2013(1):8-17. [ WangS L, DingG Y, ZhongM. On spatial data mining under big data[J]. Journal of China Academy of Electronics and Information Technology, 2013(1):8-17. ] [ Wang S L, Ding G Y, Zhong M. On spatial data mining under big data[J]. Journal of China Academy of Electronics and Information Technology, 2013(1):8-17. ]
[50] 一种基于地理空间大数据的网络舆情监测软件架构[J]. 测绘通报, 96-100(2017).
[51] et alComparing GDELT and ICEWS event data[J]. Analysis, 21, 267-297(2013).
[52] et alGrowing pains for global monitoring of societal events[J]. Science, 353, 1502(2016).
