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基于拓扑结构分形维的道路选取方法
引用本文:陆权,杨婕,曾映敏,张红,吴荣光.基于拓扑结构分形维的道路选取方法[J].地理信息世界,2018(3):28-33,40.
作者姓名:陆权  杨婕  曾映敏  张红  吴荣光
作者单位:西南交通大学 地球科学与环境工程学院,四川 成都,6111756
基金项目:国家自然基金项目(41471383)
摘    要:计算了复杂网络中单个节点的信息维数、体积维数和度体积维数,提出一种基于结构分形维的道路选取方法,考虑了道路网连通方式的多样性与差异性特征。实验结果表明,相比基于路划长度、中介中心性、邻近中心性、度中心性4种单指标道路选取模型,该方法能更好地保持路网整体结构、局部关键特征和拓扑连通性;并且与相应标准比例尺地图保持更高的一致性。

关 键 词:制图综合  道路选取  拓扑结构  分形维  map  generalization  road  selection  topological  structure  fractal  dimension

Road Selection Method Based on Fractal Dimension of Topological Structure
LU Quan,YANG Jie,ZENG Yingmin,ZHANG Hong,WU Rongguang.Road Selection Method Based on Fractal Dimension of Topological Structure[J].Geomatics World,2018(3):28-33,40.
Authors:LU Quan  YANG Jie  ZENG Yingmin  ZHANG Hong  WU Rongguang
Abstract:In this paper, the information dimension, volume dimension and degree volume dimension of single nodes in complex networks are calculated, and a road selection method base on fractal dimension of topological structure of road network is proposed. The diversity and difference characteristics of road network connectivity are considered in this approach. The results show that the proposed method can better maintaining the global structure of the road network, the critical local structure, and keeping the road network well topological connected compared with the four single-index road selection models based on the length, closeness centrality, betweenness centrality, degree centrality. In addition, the road selected by this approach is consistent with the roads selected by cartographers.
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