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A new method for identifying industrial clustering using the standard deviational ellipse

文献类型：期刊论文

作者Zhao, Ziwei2,3; Zhao, Zuoquan2,3; Zhang, Pei1
刊名SCIENTIFIC REPORTS
出版日期2023-01-11
卷号13期号:1页码:10
ISSN号2045-2322
DOI10.1038/s41598-023-27655-8
通讯作者Zhao, Zuoquan(zhao1@casisd.cn)
英文摘要Industrial agglomeration has attracted extensive attention from economists and geographers, yet it is still a challenge to identify the multi-agglomeration spatial structure and degree of industrial agglomeration in continuous space-there is still a lack of a more targeted industrial clustering method. The clustering method and the standard deviational ellipse (simply, ellipse) model have advantages in identifying the spatial structure and representing spatial information respectively. On this basis, we propose an ellipse-based approach to identifying industrial clusters. Our ellipse-based approach rests upon group nearest neighbor using the group-based nearest neighbor (GNN) ordering and spatial compactness matrix, where a number of point sequences with varying lengths, generated under the GNN ordering, are characterized by an ellipse and the elliptical parameters of these point sequences formulate the values and structure of the compactness matrix. Clustering is reformulated to identify ellipses with a specified parameter among a number of potential candidate ellipses, with significant changes (especially in the area) used as the cutoff criterion for determining the clusters' border point. Our approach is illustrated in the location pattern of firms in Shanghai City, China in comparison with four well-known clustering methods. With the combination of elliptical parameters and spatial compactness, our approach may bring a new analytical ground for future industrial clustering research.
WOS关键词GEOGRAPHIC CONCENTRATION ; REPRESENTATION ; NEIGHBORHOOD ; DEFINITION ; DISTANCE ; POINT
资助项目National Natural Science Foundation of China (NSFC)[7177031979]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000986510100014
出版者NATURE PORTFOLIO
资助机构National Natural Science Foundation of China (NSFC)
源URL[http://ir.igsnrr.ac.cn/handle/311030/194983]  
专题中国科学院地理科学与资源研究所
通讯作者Zhao, Zuoquan
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Ziwei,Zhao, Zuoquan,Zhang, Pei. A new method for identifying industrial clustering using the standard deviational ellipse[J]. SCIENTIFIC REPORTS,2023,13(1):10.
APA Zhao, Ziwei,Zhao, Zuoquan,&Zhang, Pei.(2023).A new method for identifying industrial clustering using the standard deviational ellipse.SCIENTIFIC REPORTS,13(1),10.
MLA Zhao, Ziwei,et al."A new method for identifying industrial clustering using the standard deviational ellipse".SCIENTIFIC REPORTS 13.1(2023):10.

入库方式： OAI收割

来源：地理科学与资源研究所

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