基于Voronoi图的空间信息多尺度表达  

Multi-scale Representation of Spatial Information on Voronoi Images

作　　者：王明常[1] 应申[2] 李霖[2] 

机构地区：[1]吉林大学综合矿产信息预测研究所 [2]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《吉林大学学报（地球科学版）》2005年第4期539-542,共4页Journal of Jilin University：Earth Science Edition

基　　金：国家"863"项目(2002AA131030);国家基础测绘基金项目(1469990324231)

摘　　要：空间信息多尺度表达是地理信息系统和遥感信息科学的重要研究内容之一。Voronoi图有效的几何规则和算法,为地图目标间的复杂空间关系提供了强大的描述和分析依据。讨论了在进行空间多尺度表达时,地物要素概括和符号化带来的取舍、相交、拥挤等空间冲突问题。根据计算几何的Voronoi、Delaunay原理,探讨了点群要素选取、线要素的相交、面要素的聚合和一致性简化,使其在视觉表达上更适合于人的视觉和认知心理学特点,更有利于空间数据进行分析、处理和可视化。The multi-scale representation of spatial information is one of the warmly studied issues in GIS and remote sensing information science. The useful geometric rules and algorithms on Voronoi images provide powerful approaches for the description and analysis of complicated spatial relationships among the map objects. Spatial conflicted problems, such as selections and abandons, intersections and crowds, etc. , resulted from symbolization and generalization of ground features in spatial multi-scale representation, were discussed. According to principles of Voronoi and Delaunary of computational geometry, the selection of point elements, the intersection of line elements, and the converging and predigesting of area elements, were studied to make them more favorable to the human visual and perceptive system, and consequently getting the spatial data more propitious to analyze, process and visualize.

关 键 词：空间信息 多尺度表达 计算几何 VORONOI图 

分 类 号：P208[天文地球—地图制图学与地理信息工程]