Collective flow-evolutionary patterns reveal the mesoscopic structure between snapshots of spatial network

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-09-01 DOI:10.1080/13658816.2024.2395953

Zhongfu Ma, Di Zhu

引用次数: 0

Abstract

Uncovering the collective behavior of flows among locations is critical to understanding the structure within an ever-changing spatial network. When a network evolves, there may exist subgraphs wit...

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集体流演变模式揭示了空间网络快照之间的中观结构

要了解不断变化的空间网络中的结构，揭示地点间流动的集体行为至关重要。当一个网络发生演变时，可能会存在一些子图，这些子图具有...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

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.