用于街道网络分析的图卷积网络与中国城市多中心案例研究

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ding Ma, Fangning He, Yang Yue, Renzhong Guo, Tianhong Zhao, Mingshu Wang
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引用次数: 0

摘要

图论通过街道与街道之间的连通性有效地解释了城市结构。然而,对不同城市的街道结构进行系统比较仍具有挑战性。本研究利用图论来解释城市结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities
Graph theory effectively explains urban structures via street–street connectivity. However, systematic comparisons of street structures across cities remain challenging. This study employs graph co...
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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