- Document: Report (1.42 MB pdf)
- Related Work: Techniques and Methods 7-C24— Bayesian Modeling of Non-Stationary, Univariate, Spatial Data for the Earth Sciences
- Companion Files:
- Download citation as: RIS | Dublin Core
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.
Ellefsen, K.J, Goldman, M.A., and Van Gosen, B.S., 2020, User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS: U.S. Geological Survey Techniques and Methods, book 7, chap. 20, 27 p., https://doi.org/10.3133/tm7C20.
ISSN: 2328-7055 (online)
|Publication Subtype||USGS Numbered Series|
|Title||User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS|
|Series title||Techniques and Methods|
|Publisher||U.S. Geological Survey|
|Publisher location||Reston, VA|
|Contributing office(s)||Crustal Geophysics and Geochemistry Science Center, Geology, Geophysics, and Geochemistry Science Center|
|Description||Report: iv, 27 p.; 6 Companion Files|
|Online Only (Y/N)||Y|
|Google Analytic Metrics||Metrics page|