A case-based method of selecting covariates for digital soil mapping
文献类型：期刊论文
| 作者 | Peng, Liang3,4; Cheng-zhi, Qin1,3,4; A-xing, Zhu1,2,3,4,5; Zhi-wei, Hou3,4; Nai-qing, Fan3,4; Yi-jie, Wang3,4 |
| 刊名 | JOURNAL OF INTEGRATIVE AGRICULTURE
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 19期号:8页码:2127-2136 |
| 关键词 | digital soil mapping covariates case-based reasoning Random Forest |
| ISSN号 | 2095-3119 |
| DOI | 10.1016/S2095-3119(19)62857-1 |
| 通讯作者 | Cheng-zhi, Qin(qincz@lreis.ac.cn) |
| 英文摘要 | Selecting a proper set of covariates is one of the most important factors that influence the accuracy of digital soil mapping (DSM). The statistical or machine learning methods for selecting DSM covariates are not available for those situations with limited samples. To solve the problem, this paper proposed a case -based method which could formalize the covariate selection knowledge contained in practical DSM applications. The proposed method trained Random Forest (RF) classifiers with DSM cases extracted from the practical DSM applications and then used the trained classifiers to determine whether each one potential covariate should be used in a new DSM application. In this study, we took topographic covariates as examples of covariates and extracted 191 DSM cases from 56 peer -reviewed journal articles to evaluate the performance of the proposed case -based method by Leave -One -Out cross validation. Compared with a novices? commonly -used way of selecting DSM covariates, the proposed case -based method improved more than 30% accuracy according to three quantitative evaluation indices (i.e., recall , precision , and F1 -score ). The proposed method could be also applied to selecting the proper set of covariates for other similar geographical modeling domains, such as landslide susceptibility mapping, and species distribution modeling. |
| WOS关键词 | SPATIAL PREDICTION ; EXPERT KNOWLEDGE ; ORGANIC-MATTER ; STOCKS ; SCALE ; AREA |
| 资助项目 | National Natural Science Foundation of China[41431177] ; National Natural Science Foundation of China[41871300] ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China ; Innovation Project of State Key Laboratory of Resources and Environmental Information System (LREIS), China[O88RA20CYA] ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province, China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000544587300009 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China ; Innovation Project of State Key Laboratory of Resources and Environmental Information System (LREIS), China ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province, China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162436]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng-zhi, Qin |
| 作者单位 | 1.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Sch Geog, Nanjing 210097, Peoples R China 2.Univ Wisconsin Madison, Dept Geog, Madison, WI 53706 USA 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Peng, Liang,Cheng-zhi, Qin,A-xing, Zhu,et al. A case-based method of selecting covariates for digital soil mapping[J]. JOURNAL OF INTEGRATIVE AGRICULTURE,2020,19(8):2127-2136. |
| APA | Peng, Liang,Cheng-zhi, Qin,A-xing, Zhu,Zhi-wei, Hou,Nai-qing, Fan,&Yi-jie, Wang.(2020).A case-based method of selecting covariates for digital soil mapping.JOURNAL OF INTEGRATIVE AGRICULTURE,19(8),2127-2136. |
| MLA | Peng, Liang,et al."A case-based method of selecting covariates for digital soil mapping".JOURNAL OF INTEGRATIVE AGRICULTURE 19.8(2020):2127-2136. |
入库方式： OAI收割
来源：地理科学与资源研究所
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