Scale Effects in Estimating the Variogram and Implications for Soil Hydrology

@inproceedings{Skien2006ScaleEI,
title={Scale Effects in Estimating the Variogram and Implications for Soil Hydrology},
author={Jon O. Sk\oien and G{\"u}nter Bl{\"o}schl},
year={2006}
}

In monitoring and modeling landscape soil processes, the sampling andmodeling scales should, ideally, be commensuratewith the scales of the soil characteristics of interest. Unfortunately, this is usually not possible, both because the true covariance structure of the variable of interest is unknown a priori and because of logistical constraints. We examine the biases and random errors in variogram parameters that result from the choice of a sample scale triplet (spacing, extent, and support… CONTINUE READING

Fig. 12. Estimated sill and correlation length from(a) the weighted least squares (WLS) method (green) and (b) the maximum likelihood (ML) method (blue), together with variance and integral scale (red). The thin black lines correspond to the analytical expectations. All are for the twoparameter model, with 100 gridded samples.