提出了一个基于加权Voronoi图的地图点群综合算法。为点群中包含的统计、专题、拓扑和度量信息分别选定量化描述因子,并把这些因子运用到点群综合过程中,来保证对应类型信息的正确传输;点群综合的过程借助于反复构造点群的加权Voronoi图来实现。
A new algorithm based on a multiplicative weighted Voronoi diagram (MWVD) was proposed in this paper. The idea of the algorithm is to: select appropriate factors for de- scribing the statistical, thematic, topological and metric information, and integrate the fac- tors in the process of point feature generalization to ensure different types of information may be transmitted correctly, and the generalization of point clusters is done by repetitively con- structing MWVDs.