R. M. Lark

TL;DR: In this article, the authors report new evidence from high-resolution in situ records of groundwater levels, abstraction and groundwater quality, which reveal that sustainable groundwater supplies are constrained more by extensive contamination than depletion.

TL;DR: In this paper, the authors describe the REML-E-BLUP method and illustrate the method with some data on soil water content that exhibit a pronounced spatial trend, which is a special case of the linear mixed model where our data are modelled as the additive combination of fixed effects (e.g. the unknown mean, coefficients of a trend model), random effects (the spatially dependent random variation in the geostatistical context) and independent random error (nugget variation in geostatsistics).

TL;DR: In this paper, the authors describe the REML-E-BLUP method and illustrate the method with some data on soil water content that exhibit a pronounced spatial trend, which is a special case of the linear mixed model where our data are modelled as the additive combination of fixed effects (e.g. the unknown mean, coefficients of a trend model), random effects (the spatially dependent random variation in the geostatistical context) and independent random error (nugget variation in geostatsistics).

TL;DR: In this article, several robust estimators of the variogram, based on location and scale estimation, have been proposed as improvements for analysis of soil data in circumstances where the standard estimator is likely to be affected by outliers.

TL;DR: In this paper, the variograms of data simulated from stationary Gaussian processes were used to estimate variograms from actual metal concentrations in topsoil in the Swiss Jura, and the variogram was used for kriging.