Software

Minerals

Explore software that deals with mineral potential, production, consumption, and environmental effects.

Filter Total Items: 2
Date published: April 14, 2021

MapMark4 Shiny: A self-contained implementation of the MapMark4 R package

MapMark4 Shiny is a self-contained R Shiny app designed for quantitative mineral resource assessments. The MapMark4 Shiny app is an implementation of the MapMark4 R package.

Date published: September 15, 2020

GeoBIPy – Geophysical Bayesian Inference in Python

GeoBIPy – Geophysical Bayesian Inference in Python – is an open-source algorithm for quantifying uncertainty in airborne electromagnetic (AEM) data and associated geological interpretations. This package uses a Bayesian formulation and Markov chain Monte Carlo sampling methods to derive posterior distributions of subsurface electrical resistivity based on measured AEM data.