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International Journal of Digital Earth Volume 16, 2023 - Issue 2
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Research Article

Length-squared L-function for identifying clustering pattern of network-constrained flows

Zidong Fanga State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;b University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-1902-4446View further author information
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Hua Shuc School of Computer Science and Information Engineering, Hubei University, Wuhan, People’s Republic of ChinaView further author information
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Ci Songa State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;b University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-2146-6259View further author information
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Jie Chena State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Xiaohan Liua State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;b University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Jingyu Jianga State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;d School of geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of ChinaView further author information
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Linfeng Jianga State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;e College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-4844-9670View further author information
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Tianyu Liua State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;b University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-5045-8261View further author information
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Tao Peia State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;b University of Chinese Academy of Sciences, Beijing, People’s Republic of China;f Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People’s Republic of ChinaCorrespondence[email protected]
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Pages 4191-4211 | Received 02 Mar 2023, Accepted 24 Sep 2023, Published online: 11 Oct 2023

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