Margaret A Goldman
Science and Products
Data Management and Spatial Studies - GGGSC
We provide support for geospatial analyses, mobile field data collection, management of geospatial collections including documentation, and distribution of all dataset types (geophysical, geochemistry, remote sensing (hyperspectral), etc.). GIS and data management support are provided including hyperspectral and geophysical studies that improve capabilities and applications for investigating...
Update of North American Airborne Radiometric Survey Data Using Advanced Statistical Techniques and Parallel Computing
The purpose of this project is to update the current gridded products created from the North American airborne gamma ray spectrometry data using new statistical techniques to analyze spatial data and to create higher quality national airborne radiometric grids.
Mineral Resource Assessment Training
The USGS Mineral Resources Program conducts mineral resource assessments and is training USGS scientists in how to conduct these assessments for future work. As a practical exercise, the scientists will conduct an assessment for tungsten in the U.S.
Bayesian modeling of NURE airborne radiometric data for the conterminous United States: predictions and grids
This data release includes estimates of potassium (K), equivalent uranium (eU), and equivalent thorium (eTh) for the conterminous United States derived from the U.S. Geological Survey's (USGS) national airborne radiometric data compilation (Duval and others, 2005). Airborne gamma ray spectrometry (AGRS) measures the gamma-rays that are emitted from naturally occurr
User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS
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...
Ellefsen, Karl J.; Goldman, Margaret A.; Van Gosen, Bradley S.