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

Karl J. Ellefsen; Margaret A. Goldman; Bradley S. Van Gosen

doi:10.3133/tm7c20

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

Karl J. Ellefsen·Margaret A. Goldman·Bradley S. Van Gosen

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Abstract

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.

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Karl J. Ellefsen, Margaret A. Goldman, Bradley S. Van Gosen. 2020-04-28. User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS. https://doi.org/10.3133/tm7c20

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