SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows-Reference-Cited by-同舟云学术

SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows

Published:2021-03-16 Issue: Volume: Page:1-27
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Liu Qiliang¹,Yang Jie¹,Deng Min¹,Song Ci²,Liu Wenkai¹

Affiliation:

1. Department of Geo-informatics, Central South University, Changsha, Hunan, P.R. China

2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

National Key Research and Development Foundation of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1899184

Reference48 articles.

1. Location based services—new challenges for planning and public administration?

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

3. Spatial Generalization and Aggregation of Massive Movement Data

4. OPTICS

5. Identifying local spatial association in flow data

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