Toolset to model and analyse tectonic stress with R
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Updated
May 15, 2024 - R
Toolset to model and analyse tectonic stress with R
Tracking Yellowstone and Utah area seismographic data collected by University of Utah seismograph stations. Since March 2021
Bohrdatenmanagementsystem (BDMS)
Python library for reading and writing well data using Log ASCII Standard (LAS) files
A MATLAB software for the analysis of digital elevation models -
List of resources for mineral exploration and machine learning, generally with useful code and examples.
QGIS plugin for geology and exploration. Drill hole desurvey/display and other utilities.
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
Webviz-config plugins for subsurface data.
Python-based and open source data reduction tool for the major, minor and trace element analysis of minerals as well as of fluid and melt inclusions.
Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.
geostat process using python, vtk, jupyter and your choice of interpolation engine
open source workflow for geostatistics block models
SARV-Workbench: Data management application for geoscience database SARV.
Hyperspectral core scanning data processing in R
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