Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU)
January 16, 2024
BMRGSU is software developed by the U.S. Geological Survey for Bayesian mapping of regionally-grouped, sparse, univariate, Earth-science data. This software implements an algorithm that smooths the estimated property across regions so that the deleterious effects of sparse data are mitigated. The algorithm can account for measurements that are censored, it can process multiple datasets with different measurement uncertainties and different censoring thresholds, and it can calculate the uncertainty in any statistic that is mapped. This software package includes a dataset that is used to demonstrate how the software is used.
Citation Information
| Publication Year | 2024 |
|---|---|
| Title | Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU) |
| DOI | 10.5066/P14X4CKG |
| Authors | Karl J Ellefsen, Margaret A Goldman, Bronwen Wang |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Geology, Geophysics, and Geochemistry Science Center |
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Bayesian mapping of regionally grouped, sparse, univariate earth science data Bayesian mapping of regionally grouped, sparse, univariate earth science data
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