A case-based method of selecting covariates for digital soil mapping

• 作 者: LIANG Peng QIN Cheng-zhi ZHU A
• 机 构: StateKeyLaboratoryofResourcesandEnvironmentalInformationSystem,UniversityofChineseAcademyofSciences,
• 出 处: 农业科学学报:英文版
• 发表日期: 2020年8期
• 关键词: digital soil mapping COVARIATES case-based reasoning Random Forest
• 基金项目: supported by grants from the National Natural Science Foundation of China(41431177 and 41871300),the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD),China,the Inno

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