地图点群综合的加权Voronoi算法

A MWVD-based Algorithm for Point Cluster Generalization

  • 摘要: 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。

     

    Abstract: 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 describing the statistical,thematic,topological and metric information,and integrate the factors 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 constructing MWVDs.

     

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