A Spatio-temporal Analysis Model of Geo-setting based on Object Flow

被引：0
|
作者：
Zhao W. [1 ,2 ]
Jiang N. [1 ]
Chen Y. [1 ]
Cao Y. [1 ]
机构：
[1] Department of Geographic Information Engineering, Information Engineering University, Zhengzhou
[2] China Special Police College, Beijing
来源：
Journal of Geo-Information Science | 2022年 / 24卷 / 08期
关键词：
Geo-entity; Geo-relation; Geo-setting; Geo-setting analysis model; Geo-setting object; Geo-setting object flow; Objectized data; Spatio-temporal analysis;
D O I：
10.12082/dqxxkx.2022.220030
中图分类号：
学科分类号：
摘要：
Geo-setting spatiotemporal analysis is the interpretation, evaluation, and prediction of geo-entities, geo-relations, and geo-structures, and it is an important way to grasp the spatial characteristics of geo-setting and the evolution law of correlation. By using the methods of literature research, analogy induction, and modeling research, this paper puts forward that geo-setting object is the digital expression of the geo-setting entity in the GIS world. The geo-setting object flow is the general term of the material, information, and energy interaction process between spatiotemporal objects. There is a mapping relationship between the geo-setting object flow and geo-relation, which determines the geo-setting situation and evolution processes. Based on the analysis of the related concepts and connotation of geo-setting object flow, the paper discusses the data expression and organization of geo-setting object flow and constructs a geo-setting analysis model. Based on the composition of geo-setting system, the model combines the analysis logic and data format of geo-setting object flow and establishes the logical expression of analysis principle and the expression and organization of geo-setting object data. With the support of data, qualitative and quantitative data analysis can be carried out by using mathematical methods and machine learning to determine the mapping function between geo-setting objects and geo-relations, so as to realize geo-setting analysis for application scenarios and specific problems. Finally, the paper verifies the geo-setting analysis model. Taking the geo-economic analysis of the Indo-Pacific region as an example, based on the top 10 national economic data of the region's economic level from 2009 to 2018, the abstract expression of entities, expression of trade object flows, the objectified organization of data, data analysis, and geo-relations measurement are carried out. The spatiotemporal processes of trade flows, geo-influences, and geo-relations groups are analyzed, and the effectiveness of the model in the geo-setting analysis for specific scenarios is verified. © 2022, Science Press. All right reserved.
引用
下载
收藏
页码：1432 / 1444
页数：12
相关论文
共 43 条
  • [1] Ge Q S, Jiang D, Lu F, Et al., Views on the study of geopolitical environment system simulation, Acta Geographica Sinica, 72, 3, pp. 371-381, (2017)
  • [2] Hafner-Burton E M, Kahler M, Montgomery A H., Network analysis for international relations, International Organization, 63, 3, pp. 559-592, (2009)
  • [3] Dorussen H, Ward H., Trade networks and the Kantian peace, Journal of Peace Research, 47, 1, pp. 29-42, (2010)
  • [4] Pan F H, Lai Z Y, Ge Y J., Social network analysis in geo-politics studies, Economic Geography, 33, 7, pp. 15-21, (2013)
  • [5] Qin K, Luo P, Yao B R., Networked mining of GDELT and international relations analysis, Journal of Geo-information Science, 21, 1, pp. 14-24, (2019)
  • [6] Qin Q, Wu L, Li F., Study of Southeast Asian geodesy based on social network analysis, Acta Geographica Sinica, 73, 10, pp. 2014-2030, (2018)
  • [7] Liu D Q, Bai L, Xi D G, Et al., The force structure evolution of global geopolitical pattern, World Regional Studies, 27, 1, pp. 12-21, (2018)
  • [8] McClelland C., AWorld event-interaction survey codebook, (1976)
  • [9] Li S J., Conflict-cooperation model" and a quantitative analysis of China-US relations, World Economics and Politics, 4, pp. 43-49, (2002)
  • [10] Yan X T, Zhou F Y., Quantitative measurements of bilateral relations in China, Social Sciences in China, 6, pp. 90-103, (2004)
12345