Exploring Spatial Stratified Heterogeneity for Local Geometry Structures
文献类型：期刊论文
| 作者 | Bai, Hexiang1; Xi, Xiaomeng1; Hu, Jianlong1; Li, Deyu1; Cao, Feng1; Ge, Yong2 |
| 刊名 | ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
 |
| 出版日期 | 2025-10-01 |
| 卷号 | N/A |
| 关键词 | local geometry structure multiple-point geostatistics multiscale analysis spatial stratified heterogeneity |
| ISSN号 | 2469-4452 |
| DOI | 10.1080/24694452.2025.2564227 |
| 产权排序 | 2 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Geometry structure modeling plays an increasingly important role in the era of artificial-intelligence-guided geoscience discovery. It poses challenges in detecting and quantifying spatial stratified heterogeneity, which is critical in capturing causal association and developing stratum-specific models in geoscience, as up-to-date methods mainly focus on value disparities and leave the corresponding spatial geometry structure aside. This article introduces the search tree structure in multiple-point geostatistics to model the local geometry structure in the entire study area and each stratum, quantifies the stratified heterogeneity degree of local geometry structure using the average Jensen-Shannon divergence between each stratum and the study area, and finally tests whether the existence of local geometry structure stratified heterogeneity is statistically significant based on simulations. Experiments on five illustrative and three publicly accessible real-life data sets show that the proposed measure effectively captures the stratified heterogeneity of local geometry structure missed by commonly used methods, such as q-statistic and normalized relative entropy. Additionally, the proposed method can effectively explore the trends of local geometry structure stratified heterogeneity changing with distance and spatial resolution. The code for this algorithm is available at https://github.com/crafly/SH-package. |
| URL标识 | 查看原文 |
| WOS关键词 | ASSOCIATION |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001597759600001 |
| 出版者 | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217439]  |
| 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 | Bai, Hexiang |
| 作者单位 | 1.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China; 2.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 | Bai, Hexiang,Xi, Xiaomeng,Hu, Jianlong,et al. Exploring Spatial Stratified Heterogeneity for Local Geometry Structures[J]. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,2025,N/A. |
| APA | Bai, Hexiang,Xi, Xiaomeng,Hu, Jianlong,Li, Deyu,Cao, Feng,&Ge, Yong.(2025).Exploring Spatial Stratified Heterogeneity for Local Geometry Structures.ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,N/A. |
| MLA | Bai, Hexiang,et al."Exploring Spatial Stratified Heterogeneity for Local Geometry Structures".ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS N/A(2025). |
入库方式： OAI收割
来源：地理科学与资源研究所
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