Optimal soil sampling design based on the maxvol algorithm

Spatial soil sampling is an integral part of a survey aimed at describing spatial variability in properties. We propose considering the procedure as task optimal design. In practical terms, experiments can reduce experimentation costs, they allow researcher to obtain one set points. present design, based on fundamental idea selecting sample locations with most significant dissimilarities. The proposed design founded upon method called maxvol algorithm. tested three real cases differing field data availability and compared popular schemes — simple random sampling, conditional Latin Hypercube, Kennard-Stone stratified complex geographical strata. It shown that maxvol-base algorithm has high potential for usage. Our outperforms methods taxa prediction topographical features site. be especially beneficial application because it produce high-quality scheme very few