Bayesian modeling of non-stationary, univariate, spatial data is performed using the R-language package BMNUS. A unique advantage of this package is that it can map the mean, standard deviation, quantiles, and probability of exceeding a specified value. The package includes several R-language classes that prepare the data for the modeling, help select suitable model parameters, and help analyze the results. This user guide describes the BMNUS package and presents step-by-step instructions to model data that accompany the package.
|Title||User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS|
|Authors||Karl J. Ellefsen, Margaret A. Goldman, Bradley S. Van Gosen|
|Publication Subtype||USGS Numbered Series|
|Series Title||Techniques and Methods|
|Record Source||USGS Publications Warehouse|
|USGS Organization||Crustal Geophysics and Geochemistry Science Center; Geology, Geophysics, and Geochemistry Science Center|