Research on the Construction of Data Model of Multi-granularity Spatio-temporal Objects and Its Adaptive Double Variables Uncertainty Representation Symbols in Cyberspace
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 from four categories:primary and secondary values,width brightness,saturation transparency,and vizent symbols of the experimental group. The results of the symbol experiment are tested by statistical methods. The results show that the method based on objectified modeling is conducive to the expression of multi-granularity,all-type,and multi-dimensional dynamics of cyberspace,and the development and change of cyberspace can be vividly,intuitively,and comprehensively expressed through visualization and interaction technology. The newly designed vizent symbol has a good effect on the expression of double variables uncertainty difference in cyberspace,which is helpful to obtain the uncertainty information in cyberspace timely,efficiently,and accurately. This study provides references for the development of the field of map visualization in cyberspace.
cyberspacedata model of multi-granularity spatiotemporal objectvizent symbolsdouble variablesuncertaintyvisualization of cyberspace maps
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