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Spatial prediction of groundwater level change based on the Third Law of Geography

文献类型：期刊论文

作者Zhao, Fang-He; Huang, Jingyi; Zhu, A-Xing
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
出版日期2023-08-17
卷号N/A
关键词Spatial prediction the Third Law of Geography machine learning groundwater level change >
ISSN号1365-8816
DOI10.1080/13658816.2023.2248215
产权排序1
文献子类Article ; Early Access
英文摘要Spatial prediction methods are an important means of predicting the spatial variation of groundwater level change. Existing methods extract spatial or statistical relationships from samples to represent the study area for inference and require a representative sample set that is usually in large quantity and is distributed across geographic or covariate space. However, samples for groundwater are usually sparsely and unevenly distributed. In this paper, an approach based on the Third Law of Geography is proposed to make predictions by comparing the similarity between each individual sample and unmeasured site. The approach requires no specific number or distribution of samples and provides individual uncertainty measures at each location. Experiments in three different watersheds across the U.S. show that the proposed methods outperform machine learning methods when available samples do not well represent the area. The provided uncertainty measures are indicative of prediction accuracy by location. The results of this study also show that the spatial prediction based on the Third Law of Geography can also be successfully applied to dynamic variables such as groundwater level change.
WOS关键词UNCERTAINTY ; VEGETATION ; MODEL
WOS研究方向Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种英语
WOS记录号WOS:001049853400001
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/194515]  
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 Academy of Sciences
2.Institute of Geographic Sciences & Natural Resources Research, CAS
3.University of Wisconsin System
4.University of Wisconsin Madison
5.University of Chinese Academy of Sciences, CAS
推荐引用方式
GB/T 7714		 Zhao, Fang-He,Huang, Jingyi,Zhu, A-Xing. Spatial prediction of groundwater level change based on the Third Law of Geography[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2023,N/A.
APA Zhao, Fang-He,Huang, Jingyi,&Zhu, A-Xing.(2023).Spatial prediction of groundwater level change based on the Third Law of Geography.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,N/A.
MLA Zhao, Fang-He,et al."Spatial prediction of groundwater level change based on the Third Law of Geography".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE N/A(2023).

入库方式： OAI收割

来源：地理科学与资源研究所

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