sandwichr: Spatial prediction in R based on spatial stratified heterogeneity
文献类型：期刊论文
| 作者 | Lin, Yue1; Xu, Chengdong; Wang, Jinfeng2 |
| 刊名 | TRANSACTIONS IN GIS
 |
| 出版日期 | 2023-06-23 |
| ISSN号 | 1361-1682 |
| DOI | 10.1111/tgis.13088 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Spatial prediction is commonly used in social and environmental research to estimate values at unobserved locations using sampling data. However, most existing spatial prediction methods and software packages are based on the assumption of spatial autocorrelation (SAC), which may not apply when spatial dependence is weak or non-existent. In this article, we develop a modeling framework for spatial prediction based on spatial stratified heterogeneity (SSH), a common feature of geographical variables, as well as an R package called sandwichr that implements this framework. For populations that can be stratified into homogeneous strata, the proposed framework enables the estimation of values for user-defined reporting units (e.g., administrative units or grid cells) based on the mean of each stratum, even if SAC is weak or absent. The estimated values can be used to create predicted surfaces and mapping. The framework also includes procedures for selecting appropriate stratifications of the populations and assessing prediction uncertainty and model accuracy. The sandwichr package includes functions to implement each step of the framework, allowing users to implement SSH-based spatial prediction effectively and efficiently. Two case studies are provided to illustrate the effectiveness of the proposed framework and the sandwichr package. |
| WOS关键词 | AREAL UNIT PROBLEM ; INTERPOLATION METHODS ; BREAST-CANCER ; CHINA ; FRAMEWORK ; HEALTH ; REGION ; TREND |
| WOS研究方向 | Geography |
| WOS记录号 | WOS:001016857800001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194372]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 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.Ohio State Univ, Dept Geog, Columbus, OH USA 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Yue,Xu, Chengdong,Wang, Jinfeng. sandwichr: Spatial prediction in R based on spatial stratified heterogeneity[J]. TRANSACTIONS IN GIS,2023. |
| APA | Lin, Yue,Xu, Chengdong,&Wang, Jinfeng.(2023).sandwichr: Spatial prediction in R based on spatial stratified heterogeneity.TRANSACTIONS IN GIS. |
| MLA | Lin, Yue,et al."sandwichr: Spatial prediction in R based on spatial stratified heterogeneity".TRANSACTIONS IN GIS (2023). |
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。