User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS

• DOI: 10.3133/tm7c20
• Publication Date: 2020-04-28T19:13:11Z
• Authors: Karl J. Ellefsen; Margaret A. Goldman; Bradley S. Van Gosen
• Keywords: Univariate; R package; Quantile

First posted April 28, 2020 For additional information, contact: Director, Geology, Geophysics, and Geochemistry Science CenterU.S. Geological SurveyBox 25046, Mail Stop 973Denver, CO 80225 Bayesian modeling of non-stationary, univariate, spatial data is performed using the R-language package BMNUS. A unique advantage this that it can map mean, standard deviation, quantiles, probability exceeding a specified value. The includes several classes prepare for modeling, help select suitable model parameters, analyze results. This user guide describes BMNUS presents step-by-step instructions to accompany package.