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An explainable spatial interpolation method considering spatial stratified heterogeneity

文献类型：期刊论文

作者Cheng, Shifen3,4; Zhang, Wenhui2,3,4; Luo, Peng1; Wang, Lizeng3,4; Lu, Feng3,4,5,6
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
出版日期2024-11-14
卷号N/A
关键词Spatial interpolation spatial association spatial heterogeneity explainability
DOI10.1080/13658816.2024.2426067
产权排序1
文献子类Article ; Early Access
英文摘要Spatial interpolation is essential for handling sparsity and missing spatial data. Current machine learning-based spatial interpolation methods are subject to the statistical constraints of spatial stratified heterogeneity (SSH), normally involving separate modeling of each stratum and simple weighted averaging to integrate intra-stratum and inter-strata features. However, these models overlook the different contributions of inter-strata features to different locations within a stratum (heterogeneous inter-strata associations, HIA) and the explanation of spatial effects on the interpolation process, leading to suboptimal and unreliable interpolation outcomes. This article proposes a novel explainable spatial interpolation method considering SSH (X-SSHM). Spatial and environmental features are utilized to describe intra-stratum and inter-strata information, which are fed into random forest-based learners to achieve high-level semantic feature mapping. Geographically weighted regression is employed to integrate
WOS关键词ORGANIC-MATTER CONTENTS ; WEIGHTED REGRESSION ; PREDICTION
WOS研究方向Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
WOS记录号WOS:001355049500001
源URL[http://ir.igsnrr.ac.cn/handle/311030/209574]  
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Lu, Feng
作者单位1.Tech Univ Munich, Chair Cartog & Visual Analyt, Munich, Germany
2.South China Agr Univ, Coll Nat Resources & Environm, Guangzhou, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China
6.Fuzhou Univ, Acad Digital China, Fuzhou, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Shifen,Zhang, Wenhui,Luo, Peng,et al. An explainable spatial interpolation method considering spatial stratified heterogeneity[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2024,N/A.
APA Cheng, Shifen,Zhang, Wenhui,Luo, Peng,Wang, Lizeng,&Lu, Feng.(2024).An explainable spatial interpolation method considering spatial stratified heterogeneity.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,N/A.
MLA Cheng, Shifen,et al."An explainable spatial interpolation method considering spatial stratified heterogeneity".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE N/A(2024).

入库方式： OAI收割

来源：地理科学与资源研究所

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