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Wavelet-Based Clustering Method for Geographical Flows Within a Linear Feature

文献类型：期刊论文

作者Gao, Meng1,4; Pei, Tao2,3,4; Jiang, Linfeng1,4; Yan, Xiaorui2,4; Fang, Zidong2,4; Liu, Le2,4; Fang, Ya2,4
刊名TRANSACTIONS IN GIS
出版日期2025-06-01
卷号29期号:4页码:e70079
关键词flow clustering geographical flow inhomogeneity of flow lengths spatial-frequency analysis wavelet transform
ISSN号1361-1682
DOI10.1111/tgis.70079
产权排序2
文献子类Article
英文摘要Geographical flows may indicate interactions between locations. If a set of flows has a higher flow volume and their origins and destinations are both concentrated, it can be considered a cluster. Identifying such clusters helps locate areas of intensive interactions, aiding the understanding of geographical patterns. However, unlike point clustering, a collection of flow data may demonstrate inhomogeneity regarding flow lengths. This refers to the frequencies of flows not being uniquely distributed across different length scales, where shorter flows often have a higher volume than longer ones. Nevertheless, mainstream flow clustering methods rarely consider such inhomogeneity, limiting further insights from clustering, as longer flows may be overlooked in the clustering process due to their lower volume. Here, we propose a wavelet-based clustering method for flows within a linear feature. We used wavelet transforms to identify flow clusters in the spatial-frequency domain. The taxi flows in Beijing's Chang'an Street were adopted as a case study to demonstrate the practicality of the approach. Some clusters with longer lengths were identified, indicating irreplaceable interactions between locations and having unique implications for transportation planning. Our study emphasizes the necessity of considering flow length in clustering and introduces a promising approach through spatial-frequency domain analysis.
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WOS关键词PATTERN
WOS研究方向Geography
语种英语
WOS记录号WOS:001518769200005
出版者WILEY
源URL[http://ir.igsnrr.ac.cn/handle/311030/215417]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Pei, Tao
作者单位1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China;
2.Univ Chinese Acad Sci, Beijing, Peoples R China;
3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China
4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China;
推荐引用方式
GB/T 7714		 Gao, Meng,Pei, Tao,Jiang, Linfeng,et al. Wavelet-Based Clustering Method for Geographical Flows Within a Linear Feature[J]. TRANSACTIONS IN GIS,2025,29(4):e70079.
APA Gao, Meng.,Pei, Tao.,Jiang, Linfeng.,Yan, Xiaorui.,Fang, Zidong.,...&Fang, Ya.(2025).Wavelet-Based Clustering Method for Geographical Flows Within a Linear Feature.TRANSACTIONS IN GIS,29(4),e70079.
MLA Gao, Meng,et al."Wavelet-Based Clustering Method for Geographical Flows Within a Linear Feature".TRANSACTIONS IN GIS 29.4(2025):e70079.

入库方式： OAI收割

来源：地理科学与资源研究所

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