Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
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DOI: 10.1016/j.geoderma.2020.114337
Abstract: Abstract Sampling design plays an important role in soil survey and soil mapping. Conditioned Latin hypercube sampling (cLHS) has been proven as an efficient sampling strategy and used widely in digital soil mapping. cLHS samples… read more here.
Keywords: sample; latin hypercube; mapping; conditioned latin ... See more keywords