Basin and Landscape Dynamics model
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Updated
May 8, 2024 - Python
Basin and Landscape Dynamics model
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Stratigraphic pick prediction via supervised machine-learning
Repository of upcoming abstract submission deadlines for geoscience conferences
Badlands workshop & examples
Badlands pre & post-processing
python port of the USGS bedforms software tool
Markov chain simulator in a sequence stratigraphic framework
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.
Stratrigraphy simulation solver for the GeoStats.jl framework
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
Shiny app visualizing the effects of carbonate stratigraphy on trait evolution
Docker image for badlands
Companion software of NSB to check and produce age models. Fork of nsb_adp.py, itself a modernisation of the Age-Depth Plot (ADP) program (Lazarus, 1992; Bohling, 2005).
R package for archaeological stratigraphy and chronological sequences
Well logs correlation using dynamic time warping
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.
An R-function that makes plotting geological depth/age data easy
Python scripts voor bewerken Nederlandse en Vlaamse bodeminformatie
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