3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data
文献类型：期刊论文
| 作者 | Sun, Peijie1,2; Zhang, Hengcai1,2; Wang, Peixiao1,2; Yu, Jianing1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2025-12-31 |
| 卷号 | 18期号:1页码:2512058 |
| 关键词 | Spatial heterogeneity three dimensional spatial statistics voxel |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2025.2512058 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Investigating spatial heterogeneity is a crucial aspect of spatial analysis. Existing studies have primarily focused on measuring 2D geographic distribution, which cannot be directly applied to extensive 3D big earth datasets. To address this gap, we propose a novel 3D spatial heterogeneity index (3D-SHI) to explore 3D spatial heterogeneity in big earth data. First, we introduce some new concepts including the Earth cube model and connected components to effectively capture 3D spatial heterogeneity. Second, we derive the formulation for 3D-SHI and propose a connected component model (CCM) to facilitate near real-time computation of the index. To elucidate the geographic significance of this index, we analyzed its characterization in comparison with three traditional methods. In our experiments, we simulated 3D datasets to demonstrate the efficiency and capacity of the proposed 3D-SHI. Additionally, we used a real-world sea temperature dataset from the North Atlantic were conducted to quantify high dimensional spatial heterogeneity. The experimental results illustrated that 3D-SHI can effectively capture changes in spatial heterogeneity and reveals patterns that exist across both temporal and spatial dimensions. |
| URL标识 | 查看原文 |
| WOS关键词 | SOIL-MOISTURE ; VARIABILITY ; INFORMATION ; CHINA |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001501437100001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214565]  |
| 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 | Zhang, Hengcai |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Peijie,Zhang, Hengcai,Wang, Peixiao,et al. 3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2025,18(1):2512058. |
| APA | Sun, Peijie,Zhang, Hengcai,Wang, Peixiao,&Yu, Jianing.(2025).3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data.INTERNATIONAL JOURNAL OF DIGITAL EARTH,18(1),2512058. |
| MLA | Sun, Peijie,et al."3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data".INTERNATIONAL JOURNAL OF DIGITAL EARTH 18.1(2025):2512058. |
入库方式： OAI收割
来源：地理科学与资源研究所
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