从大规模始发地-目的地流量数据中提取空间网络结构的多层次方法

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

International Journal of Geographical Information Science Pub Date : 2024-01-09 DOI:10.1080/13658816.2023.2301305

Xingxing Zhou, Haiping Zhang, Xinyue Ye

引用次数: 0

摘要

从大规模的始发地-目的地流量数据中提取空间网络结构（SNS）是了解区域间关联模式和互动规律的重要方法。目前...

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A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data

Extracting spatial network structure (SNS) from large-scale origin-destination flow data is an important approach for understanding interregional association patterns and interaction laws. Currentl...

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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.