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机译:以主要地形变量为辅助协克里金变量的喀斯特地区土壤水分空间预测
Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China, School of Geographical Sciences, Southwest University, Chongqing 400715, China;
Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China;
Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China;
Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China;
Soil water content; Geostatistics; Spatial pattern; Cokriging; Terrain variables;
机译:通过将土壤含水量预测为辅助变量进行协同克里格法改进对土壤容重的预测
机译:利用地形指数和分类变量作为辅助信息对土壤有机质进行空间预测。 (进入数字时代:《儿童计量学专刊》 2009年,北京。)
机译:干燥密度,土壤质地和时空可变水分含量对土壤热导率的影响
机译:使用pH作为辅助Co-Kriging变量的饮用水中硝酸盐浓度的空间预测
机译:利用光纤技术和贝叶斯决策理论改善空间可变领域中土壤水分的测定。
机译:克里格插值最优辅助土壤养分变量的选择。
机译:使用pH作为辅助协同克里金变量的饮用水中硝酸盐浓度的空间预测
机译:利用Cokriging估算土壤含水量