Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns-Reference-Cited by-同舟云学术

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Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns

Published:2023-09-05 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhang Haiping¹^ORCID,Zhou Xingxing²^ORCID,Ye Xinyue³^ORCID,Tang Guoan¹^ORCID,Wang Haoran¹^ORCID,Jiang Shangjing¹^ORCID

Affiliation:

1. School of Geography, Nanjing Normal University, Nanjing, China

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

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

Funder

National Natural Science Foundation of China

Lvyangjinfeng Excellent Doctoral Program of Yangzhou

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2252923

Reference39 articles.

1. Revealing Patterns and Trends of Mass Mobility Through Spatial and Temporal Abstraction of Origin-Destination Movement Data

2. Challenges for social flows

3. ST-DBSCAN: An algorithm for clustering spatial–temporal data

4. Interactions between flows of human resources in functional regions and flows of inventories in dynamic processes of global supply chains

5. A GloVe Model for Urban Functional Area Identification Considering Nonlinear Spatial Relationships between Points of Interest

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