Advancing Process-Oriented Geographical Regionalization Model
文献类型：期刊论文
| 作者 | Zhang, Haiping1; Zhou, Xingxing5; Yang, Yu1; Wang, Haoran4; Ye, Xinyue3; Tang, Guoan2,4 |
| 刊名 | ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
 |
| 出版日期 | 2024-07-31 |
| 卷号 | N/A |
| 关键词 | geographical boundary model process-oriented regionalization spatial heterogeneity spatial homogeneity spatial time-series |
| DOI | 10.1080/24694452.2024.2380893 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temporal instance, rather than across their entire evolutionary process. In response, this research proposes a novel model for geographic process regionalization based on spatial time-series (STS) data. This model is designed to amalgamate adjacent entities exhibiting analogous trends in regional variable fluctuations, while segregating those with disparate trajectories. The study starts by establishing methodologies for the assessment of three distinct types of STS data similarities: value-based, shape-oriented, and periodic patterns. Following this, a tailored regionalization methodology specific to STS data is delineated. This methodology facilitates a quantitative analysis of time-series variables within each geographical region, leading to the development of a process-oriented geographic boundary model (GBM). The efficacy of this model is validated through empirical testing with synthetic data sets and further elucidated via case studies focusing on the dynamics of population and pollution levels, underscoring its substantial applicability in both human and physical geography. The proposed methodology is adaptable for any time-series data that incorporate locational information for regionalization. |
| WOS关键词 | TIME-SERIES DATA ; EFFICIENT ; COMPACTNESS ; ALGORITHM ; AREAS |
| WOS研究方向 | Geography |
| WOS记录号 | WOS:001296283400001 |
| 出版者 | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206961]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhou, Xingxing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China 3.Texas A&M Univ, Sch Architecture, College Stn, TX USA 4.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China 5.Yangzhou Univ, State Coll Informat Engn, Coll Artificial Intelligence, Yangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Haiping,Zhou, Xingxing,Yang, Yu,et al. Advancing Process-Oriented Geographical Regionalization Model[J]. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,2024,N/A. |
| APA | Zhang, Haiping,Zhou, Xingxing,Yang, Yu,Wang, Haoran,Ye, Xinyue,&Tang, Guoan.(2024).Advancing Process-Oriented Geographical Regionalization Model.ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,N/A. |
| MLA | Zhang, Haiping,et al."Advancing Process-Oriented Geographical Regionalization Model".ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。