Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps

标题
Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps
作者
关键词
Soil sampling, Random forest, Similarity-based predictive soil mapping, K, -means, Simulated annealing, Calibration sampling
出版物
GEODERMA
Volume 370, Issue -, Pages 114366
出版商
Elsevier BV
发表日期
2020-04-10
DOI
10.1016/j.geoderma.2020.114366

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