矢量数据多尺度表达图谱认知理论与计算

Cognitive Theory and Calculation of Multi-scale Representation Map of Vector Data

运用图谱对点、线、面等构成空间数据的基本微观地理实体表达有效信息,以常见的面实体为研究对象,抽取面实体的图特征从而构建谱特征,实现“由图抽谱”。通过不同尺度下的面实体距离矩阵实现“图旧谱新”,结果构建了矢量数据多尺度表达图谱认知理论体系和计算方法体系;以地理空间实体抽象前的状态为切入点,逐步揭示其在抽象过程中的规律的认知方法体系,从理论和方法上实现了矢量数据多尺度表达的图谱认知,为多尺度空间数据库的相关研究提供参考。

According to the characteristics and advantages of atlas technology,it is feasible and necessary to study the cognitive theory and meth-od of multi-scale representation with vector data.In this paper,we studied the problem of multi-scale expression map of vector data,and system-atically put forward the cognitive theory and calculation method of multi-scale expression map of vector data.Taking the common face entities as the research object,we extracted the graph features of face entities to construct spectral features and realize“extracting spectrum from images”.The volume distance matrix can realize the“old map and the new spectrum”through the surface reality of different scales,so as to provide a ref-erence for the related problems of multi-scale spatial database.