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Cartographic generalization of urban street networks based on gravitational field theory

机译:基于引力场理论的城市街道网络制图综合

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摘要

The automatic generalization of urban street networks is a constant and important aspect of geographical information science. Previous studies show that the dual graph for street-street relationships more accurately reflects the overall morphological properties and importance of streets than do other methods. In this study, we construct a dual graph to represent street-street relationship and propose an approach to generalize street networks based on gravitational field theory. We retain the global structural properties and topological connectivity of an original street network and borrow from gravitational field theory to define the gravitational force between nodes. The concept of multi-order neighbors is introduced and the gravitational force is taken as the measure of the importance contribution between nodes. The importance of a node is defined as the result of the interaction between a given node and its multi-order neighbors. Degree distribution is used to evaluate the level of maintaining the global structure and topological characteristics of a street network and to illustrate the efficiency of the suggested method. Experimental results indicate that the proposed approach can be used in generalizing street networks and retaining their density characteristics, connectivity and global structure.
机译:城市街道网络的自动概括是地理信息科学的一个恒定而重要的方面。先前的研究表明,街道-街道关系的对偶图比其他方法更准确地反映了街道的总体形态特征和重要性。在这项研究中,我们构造了一个表示街道-街道关系的对偶图,并提出了一种基于引力场理论的广义街道网络的方法。我们保留了原始街道网络的全局结构特性和拓扑连通性,并借鉴了引力场理论来定义节点之间的引力。介绍了多阶邻居的概念,并以重力作为节点间重要性贡献的量度。节点的重要性定义为给定节点与其多级邻居之间相互作用的结果。度分布用于评估维持街道网络的全局结构和拓扑特征的级别,并说明所建议方法的效率。实验结果表明,该方法可用于推广街道网络,并保持其密度特征,连通性和全局结构。

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