A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data-Reference-Cited by-同舟云学术

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

Published:2024-01-09 Issue:3 Volume:38 Page:577-602
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Zhou Xingxing¹^ORCID,Zhang Haiping²^ORCID,Ye Xinyue³^ORCID

Affiliation:

1. College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, PR China

2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, PR China

3. School of Architecture, Texas A&M University, College Station, TX, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2301305

Reference43 articles.

1. Challenges for social flows

2. Geo-located community detection in Twitter with enhanced fast-greedy optimization of modularity: the case study of typhoon Haiyan

3. Real-time generalization of point data in mobile and web mapping using quadtrees

4. Analysis of the air cargo transport network using a complex network theory perspective

5. The evolving structure of the Southeast Asian air transport network through the lens of complex networks, 1979–2012

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1. Advancing Process-Oriented Geographical Regionalization Model;Annals of the American Association of Geographers;2024-08-22

2. How does cultural distance affect tourism destination choice? Evidence from the correlation between regional culture and tourism flow;Applied Geography;2024-05

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