基于Voronoi图的空间信息多尺度表达

基于Voronoi图的空间信息多尺度表达

王明常^1，2，应申³，李霖³

1.吉林大学综合矿产信息预测研究所，吉林长春 130026；2.吉林大学地球探测科学与技术学院，吉林长春 130026；3.武汉大学资源与环境科学学院，湖北武汉 430079

收稿日期:2004-08-16 修回日期:1900-01-01 出版日期:2005-07-26 发布日期:2005-07-26
通讯作者: 王明常

Multiscale Representation of Spatial Information on Voronoi Images

WANG Ming-chang^1，2,YING Shen³,LI Lin³

1.Institute of Mineral Resources Appraisal of Synthetic Information, Jilin University, Changchun 130026, China;2. College of GeoExploration of Science and Technology, Jilin University, Changchun 130026, China；3. College of Resource and Environment，Wuhan University，Wuhan 430070,China

Received:2004-08-16 Revised:1900-01-01 Online:2005-07-26 Published:2005-07-26
Contact: WANG Ming-chang

摘要/Abstract

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。

关键词: 空间信息, 多尺度表达, 计算几何, Voronoi图

Abstract: 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.

Key words: spatial information, multiscale representation, computational geometry, Voronoi

中图分类号:

P208

王明常，应申，李霖. 基于Voronoi图的空间信息多尺度表达[J]. J4, 2005, 35(04): 539-0542.

WANG Ming-chang,YING Shen,LI Lin. Multiscale Representation of Spatial Information on Voronoi Images[J]. J4, 2005, 35(04): 539-0542.

参考文献

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

[1]	叶水盛, 乔金海, 叶育鑫, 郭利军, 蔡红军. 基于GIS的矿产预测地质解译空间信息集成[J]. J4, 2012, 42(4): 1214-1222.
[2]	孔金玲,王文科，翁晓鹏，麦柳妍. 基于GIS的地下水及其环境问题分析[J]. J4, 2005, 35(06): 771-0774.