Software
Listed below are software items directly associated with the Geology, Energy & Minerals Science Center:
Nonstationary demographic state-space models: R and JAGS code Nonstationary demographic state-space models: R and JAGS code
This repository contains R and JAGS code for fitting nonstationary demographic state-space models (NDSSM) to count-valued abundance data. Models use reduced dynamics but explicitly characterize growth rate distributions, including changepoints and/or volatility clustering for the timing and impacts of environmental stressors. Species fecundity is used to truncate growth rate...
EnergyStorageUQ R and JAGS code EnergyStorageUQ R and JAGS code
The EnergyStorageUQ repository of R and JAGS code provides JAGS models and an R workflow for analyzing energy storage capacity of gas reservoirs using material balance methods embedded in statistical models. The code contains tools for a workflow that includes fitting models, making predictions with uncertainty through Monte Carlo simulation, and visualizing the resulting material...
MapMark4 Version Update (Version 1.1) MapMark4 Version Update (Version 1.1)
MapMark4 is a software package originally released by Ellefsen (2017) that implements the probability calculations in three-part mineral resource assessments (Singer and Menzie, 2010). The name is derived from the descriptive phrase “mineral assessment program mark4”—the name “mark4” is chosen because the previous, similar program was called “mark3”. Functions within the software package...
CO2assessment R package CO2assessment R package
The CO2assessment package provides R functions and a Shiny application for CO2 storage resource assessment using 2013 USGS National Assessment of Geologic Carbon Dioxide Storage Resources methodology. Tools to facilitate estimation of CO2 storage resources in geologic formations include volumetric and thermodynamic equations and Monte Carlo simulation. The set of input parameters define...
R Code Supporting the Manuscript: Using Stochastic Point Pattern Analysis to Track Regional Orientations of Magmatism During the Transition to Cenozoic Extension and Rio Grande Rifting, Southern Rocky Mountains R Code Supporting the Manuscript: Using Stochastic Point Pattern Analysis to Track Regional Orientations of Magmatism During the Transition to Cenozoic Extension and Rio Grande Rifting, Southern Rocky Mountains
This repository contains code that supports ongoing research in the southern Rocky Mountains in Colorado and northern New Mexico. This region hosted intracontinental magmatism that developed during a tectonic transition from shortening (Laramide orogeny, ca. 75 to 40 Ma) through extension and rifting. The code in this repository presents a novel approach that uses stochastic weighted...
Computer programs for the assessment of coal resources (ver. 2.0, April 2021) Computer programs for the assessment of coal resources (ver. 2.0, April 2021)
The USGS assessment and methodology reports cited within this software release require extensive processing using computational methods and modeling. The most demanding aspects of the modeling were performed using publicly available software: SGeMS and GSLIB (See the 'related External Resources' section on this webpage to learn more about this software). This publication releases the...