Bayesian modeling of non-stationary, univariate, spatial data for the Earth sciences

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Description Some Earth science data, such as geochemical measurements of element concentrations, are non-stationary—the mean and the standard deviation vary spatially. It is important to estimate the spatial variations in both statistics because such information is
Originators Ellefsen, Karl J. and Van Gosen, Bradley S.
Publication U.S. Geological Survey Techniques and Methods 7-C24