基于对象流的地缘环境时空分析模型

地缘环境时空分析是对地缘体、地缘关系及地缘结构进行的解析、评价和预测,是把握地缘环境空间特征、关联关系演化规律的重要途径。本文采用文献研究、类比归纳、建模研究等方法,提出地缘环境对象是地理信息世界中对现实地缘环境实体抽象后的数字化表达,地缘环境对象流是对象间物质、信息和能量数据交互过程的总称,与地缘关系间存在映射关系,对地缘环境态势和演化过程具有关键作用。在对地缘环境对象流相关概念和内涵解析的基础上,探讨了地缘环境对象流的数据表达与组织方法,构建了地缘环境分析模型,模型从地缘环境系统构成出发,将地缘环境对象流的分析逻辑和数据模型结合,分别建立地缘环境对象流分析原理的逻辑表达及地缘环境对象化数据组织体系,在数据支持下利用数据分析算法来确定地缘环境对象与地缘关系间的映射函数,实现面向应用场景和具体问题的地缘环境分析。本文对地缘环境分析模型进行了验证,以“印太地区”地缘经济环境分析为例,基于2009—2018年该区域经济水平排位前10的国家经济数据,进行了地缘经济实体特征的抽象、贸易对象流的数据表达与组织、数据分析及地缘关系测度,分析了贸易流的时空变化过程、地缘影响力以及地缘关系群组等,验证了模型在面向具体场景的地缘环境分析中的有效性。

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

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.