Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
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Updated
May 29, 2024 - R
Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Stratrigraphy simulation solver for the GeoStats.jl framework
Basin and Landscape Dynamics model
Code for computing stratigraphy from bathymetric data, as per Pearson et al (2022): https://doi.org/10.1016/j.geomorph.2022.108185
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
a paleocurrent plotter for plotting a histogram and a rose diagram out of paleocurrent direction values given in azimuth degrees
Shiny app visualizing the effects of carbonate stratigraphy on trait evolution
This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.
Estimate Age-Depth Models and Transform Data
GebPy is a Python-based, open source tool for the generation of geological data of minerals, rocks and complete lithological sequences. The data can be generated randomly or with respect to user-defined constraints, for example a specific element concentration within minerals and rocks or the order of units within a complete lithological profile.
The code snippets and repositories are for generating embedded markov model to establish facies changes in the stratigraphic succession
An R package for wavelet based cyclostratigraphic analyses
Preservation of Orbital Forcing in Incomplete Carbonate Successions
Plot stratigraphic columns with python.
Plot equal-area Rose diagrams of palaeocurrent indicators. Input as a spreadsheet. Plot different types of indicators (e.g. ripples, flutes, imbrication) on the same graph, stacked or overlain.
Docker image for badlands
Badlands pre & post-processing
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