![]() ![]() ![]() KeywordsSampling-Latin hypercube-Digital soil mapping-Great Basin-Rangelands Optimal sample size for this study area is approximately 200 to 300 (0.05–0.1%). Graphical analysis for continuous data and chi-square analysis of categorical data suggested The cLHS code was run in Matlab™ (Mathworks, 2008) and statistical analysis was performed using the R statistical language Sizes for representing five environmental covariates in a 30,000-ha complex landscape in the Great Basin of southwestern Utah. This paper briefly reviews cLHS and investigates different sample Is the optimal sample size for digital soil mapping? An optimal sample size accurately represents the variability in the environmentalĬovariates and provides enough samples for predictive models. As the smallest possible sample is important for efficient field work, what Of environmental covariates in feature space. Conditioned Latin Hypercube Sampling (cLHS) is a type of stratified random sampling that accurately represents the variability
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