Conditioned latin hypercube sampling full#
We demonstrated that cLHS, a type of stratified random sampling, closely approximated the full range of variability of environmental covariates in feature and geographic space with small sample sizes.
Método do hipercubo latino condicionado para a amostragem de solos na presença de covariáveis ambientais visando o mapeamento digital de solos. We investigated optimal sample size and sampled the environmental covariates using conditioned Latin Hypercube Sampling (cLHS). Thus, the cLHS method is a satisfactory method for selecting points for soil sampling in heterogeneous areas, like those of the present study, for the purpose of use in digital soil mapping.ĬARVALHO JR., Waldir de CHAGAS, César da Silva MUSELLI, Alexandre PINHEIRO, Helena Saraiva Koenow PEREIRA, Silvio Barge BHERING, Silvio Barge. In contrast, the random samples showed significance differences from the watershed data for all the continuous covariables for at least one of the statistical tests used. Statistical analysis confirmed the better performance of the cLHS method compared to the random method, and the cLHS samples showed no significance differences from the watershed data. Furthermore, the cLHS method better maintained the frequency distribution of the continuous covariables than random sampling did, and the categorical covariable of land cover/land use showed no significance differences between the cLHS and random methods. The sampling points selected by the cLHS method showed better geographic distribution than those obtained by random sampling. The performance of the methods was evaluated by qualitative assessment of histograms of distribution, and statistical analyses by the F test, Student T Test and Kolmogorov-Smirnov test (K-S) for each covariable. For conditioned Latin hypercube sampling (cLHS) the problem is: given N sites with ancillary variables (X), select x a sub-sample of size n n5N in order. This study attempts to evaluate the conditioned Latin Hypercube Sampling (cLHS) method with four environmental covariates (elevation, slope, curvature and land cover/land use map), in comparison to random sampling, in allocating 100 sample points, seeking a more representative description of the environmental characteristics of the Macacu watershed area. However, in conventional soil surveys, sampling schemes have proven to be inadequate for digital soil mapping because they may affect the results obtained and, in addition, they do not allow statistical estimations to be performed.
Soil sampling is one of the most important stages in soil surveys.
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