›› 2013, Vol. 42 ›› Issue (5): 760-766.

• 学术论文 • 上一篇    下一篇

基于水流扩展思想的网络空间Voronoi图生成

艾廷华1,禹文豪2   

  1. 1. 武汉大学
    2. 武汉大学资源与环境科学学院
  • 收稿日期:2012-08-31 修回日期:2013-12-04 出版日期:2013-10-20 发布日期:2014-01-23
  • 通讯作者: 禹文豪 E-mail:ywh_whu@126.com

Algorithm for Constructing Network Voronoi Diagram Based on Flow Extension Ideas

  • Received:2012-08-31 Revised:2013-12-04 Online:2013-10-20 Published:2014-01-23

摘要: Voronoi图是地理空间设施分布特征提取的重要几何模型,基于不同的空间距离概念可建立不同的Voronoi图。本研究顾及城市网络空间中设施点的服务功能及相互联系发生于网络路径距离而非传统的欧式距离的事实,针对网络空间Voronoi图模型,建立一种网络空间Voronoi图生成的栅格扩展算法。首先对图结构的边目标剖分为细小的线性单元,称作网络空间的栅格化,引入水流扩展思想,将事件点发生源视为“水源”,以栅格单元长度为扩展步长,让水流方向沿着网络上的可通行路径同时向外蔓延,直至与其他水流相遇或者到达边的尽头。该算法可方便地加入网络图结构中的多种约束,如街道边的单向行驶、结点的限制性连接等实际空间限制条件。通过大规模实际数据的“数字城市”POI点服务范围的试验表明该算法的效率高。

关键词: 网络Voronoi图, 空间划分, 网络分析, 空间分析

Abstract: As an important geometrical construction obtaining the facility distribution characteristics in geographical space, Voronoi diagram can be constructed differently based on the different distance concept. According to the factor that the service function and interrelation of urban feasilities is carried out on the network path distance, neither than conventional Euclidean distance, this study prsented a raster extension algorithm to build Voronoi diagram in network space, aiming at establishing the network Voronoi diagram model. First the edges of graph structure are subdivided into small linear elements, and we call this procedure as network rasterisation. Then the algorithm introduces the water flow extension idea which lets streams spread on the network paths until meeting the other streams or arriving at the end of edge, with treating the event sources as the headwaters, raster unit length as expanded step length. The algorithm can add constraints of network graph structure, for example, one-way traffic, node restrictive connection. The large-scale actual data experiment for generating the POIs’ service areas in the “Digital City” shows that the proposed algorithm is efficient.

Key words: network Voronoi diagram, spatial tessellation, network analysis, spatial analysis

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