网络空间多粒度时空数据模型构建及其适配双变量不确定性表达符号研究  

Research on the Construction of Data Model of Multi-granularity Spatio-temporal Objects and Its Adaptive Double Variables Uncertainty Representation Symbols in Cyberspace

作　　者：赵帅 张政[1] 华一新[1] 赵文双 赵鑫科 陈敏颉 吉晓宇 ZHAO Shuai;ZHANG Zheng;HUA Yixin;ZHAO Wenshuang;ZHAO Xinke;CHEN Minjie;JI Xiaoyu(Institute of Geographic Space Information,PLA of China Strategic Support Force Information Engineering University,Zhengzhou 450000,China;China Special Police College,Beijing 102211,China;Resources&Environment College,Tibet Agriculture&Animal Husbandry University,Nyingchi 860000,China;College of Information Science&Technology,Zhengzhou Normal University,Zhengzhou 450000,China)

机构地区：[1]战略支援部队信息工程大学地理空间信息学院,郑州450000 [2]武警特种警察学院,北京102211 [3]西藏农牧学院资源与环境学院,林芝860000 [4]郑州师范学院信息科学与技术学院,郑州450000

出　　处：《地球信息科学学报》2024年第7期1577-1593,共17页Journal of Geo-information Science

基　　金：国家重点研发计划项目(2021YFB3900900)。

摘　　要：不确定性可视化是网络空间地图可视化领域的重点和难点,合理的不确定性符号设计对网络空间地图信息的快速读取挖掘与精准分析决策至关重要。本文提出了一种基于多粒度时空对象数据模型的网络空间双变量不确定性符号表达方法,解决网络空间节点链接图中变量符号无法及时高效地体现节点、连边不确定性表达不一致的情况。以地理社交网络为案例,首先采用多粒度时空数据模型建模的方法,分析网络空间对象建模的内容和流程,设计网络空间实体对象类并创建相应时空对象;在此基础上结合传统符号在网络空间节点链接图表达方面存在的问题,分析网络空间不确定性表达原理和模型,制作相应的视觉熵符号;最后开展对照实验,并采用统计方法对符号实验结果进行检验。结果表明基于对象化建模的方法有助于网络空间多粒度、全类型、多维动态的表达,通过可视化和交互技术能生动直观、全面多维地表现网络空间的发展变化;新设计的视觉熵符号在网络空间双变量不确定性差异表达方面的效果较好,有助于及时高效准确地获取网络空间的不确定性信息。研究可以为网络空间地图可视化领域的发展提供一定借鉴和参考。Visualization of uncertainty is a research focus and difficulty in the field of cyberspace map visualization.Reasonable design of uncertainty symbols is crucial for the quick reading,mining,accurate analysis,and decision making of cyberspace map information.In this paper,a symbolic representation of double variables uncertainty in cyberspace based on data model of multi-granularity spatiotemporal objects is proposed.This method can solve the problem that the variable symbols in the cyberspace node link graph cannot reflect the expression uncertainty of nodes and connected edges in a timely and efficient manner.Taking geographic social networks as an example,we first adopt the modeling method of multi-granularity spatiotemporal objects and divide the cyberspace into carrier class,subject class,and data class based on the four classifications of cyberspace proposed by Academician Fang Binxing.The entity is divided specifically from the virtual and real perspectives.Then we analyze the content and process of cyberspace object modeling,design cyberspace entity object class,and create spatiotemporal objects.Based on this,combining the problems of traditional symbols in the expression of cyberspace node link graph,the uncertainty expression theory and uncertainty expression model of cyberspace are analyzed.The expression theory reveals that the uncertainty in cyberspace generated from Single Variables expression is larger than that from Double Variables expression over time.The uncertainty expression model divides the uncertainty expression of object data in cyberspace into node uncertainty,edge uncertainty,local uncertainty,and global uncertainty.Then the vizent symbols of nodes and edges of 1-8 levels are made respectively Finally,a case study is carried out.Firstly,the presentation of application results is conducted.The experiment first constructs the cyberspace object,instantiates it,and then visualizes it with symbols.Secondly,a symbolic control experiment is carried out.The control experiments are carried out fr

关 键 词：网络空间 多粒度时空数据模型 视觉熵符号 双变量 不确定性 网络空间地图可视化 

分 类 号：P208[天文地球—地图制图学与地理信息工程]