Spatial rough set-based geographical detectors for nominal target variables
文献类型：期刊论文
| 作者 | Bai, Hexiang1; Li, Deyu1,2; Ge, Yong3; Wang, Jinfeng3; Cao, Feng1 |
| 刊名 | INFORMATION SCIENCES
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 586页码:525-539 |
| 关键词 | Rough set Uncertainty measure Spatial heterogeneity Spatial analysis Geographical detector |
| ISSN号 | 0020-0255 |
| DOI | 10.1016/j.ins.2021.12.019 |
| 通讯作者 | Bai, Hexiang(baihx@sxu.edu.cn) |
| 英文摘要 | Spatial rough set theory is an extension of classical rough set theory that is designed to handle spatial data. Different from its classical analog, spatial rough set theory approxi-mates nominal target variables in each local region, thereby enabling the local explanatory power of various factors on these nominal target variables to be determined. Based on spa-tial rough set theory, this paper describes two new uncertainty indices for measuring the spatial heterogeneity of the local explanatory power on nominal target variables. Moreover, three new spatial rough set-based geographical detectors are proposed. With the help of the uncertainty indices, these detectors measure the spatial explanatory power of different factors, compare their importance, and detect feature interactions. Experiments are conducted using two publicly accessible datasets to demonstrate the effectiveness of the proposed geographical detectors and evaluate their performance against that of geo-graphical detectors based on q-statistics. The results show that the proposed detectors are effective in processing nominal variables and can be used to complement existing q- statistics-based geographical detectors.(c) 2021 Elsevier Inc. All rights reserved. |
| WOS关键词 | WEIGHTED REGRESSION ; HETEROGENEITY ; CLASSIFICATION ; DISCRETIZATION ; UNCERTAINTY |
| 资助项目 | National Key Research and Development Program of China[2017YFB0503501] ; National Natural Science Foundation of China[41871286] ; National Natural Science Foundation of China[62072294] ; National Natural Science Foun-dation for Distinguished Young Scholars of China[41725006] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000768237300006 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foun-dation for Distinguished Young Scholars of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173080]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Bai, Hexiang |
| 作者单位 | 1.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan 030006, Shanxi, Peoples R China 2.Shanxi Univ, Key Lab Computat Intelligence & Chinese Informat, Minist Educ, Taiyuan 030006, Shanxi, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bai, Hexiang,Li, Deyu,Ge, Yong,et al. Spatial rough set-based geographical detectors for nominal target variables[J]. INFORMATION SCIENCES,2022,586:525-539. |
| APA | Bai, Hexiang,Li, Deyu,Ge, Yong,Wang, Jinfeng,&Cao, Feng.(2022).Spatial rough set-based geographical detectors for nominal target variables.INFORMATION SCIENCES,586,525-539. |
| MLA | Bai, Hexiang,et al."Spatial rough set-based geographical detectors for nominal target variables".INFORMATION SCIENCES 586(2022):525-539. |
入库方式： OAI收割
来源：地理科学与资源研究所
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