Stratigraphic visualization and analysis
Project description
stratigraph
'stratigraph' is a Python package for visualizing and analyzing stratigraphic models. These models ideally have the topographic surfaces through time, not just the stratigraphy, although it is possible to tweak the code so that stratigraphy-only models are visualized. The 3D visualizations rely on Mayavi.
Stratigraphic data can be visualized in time or in space. In the time domain, 'stratigraph' can be used create time-elevation (Barrell) plots and chronostratigraphic (Wheeler) diagrams. For example, here is the 'stratigraph' version of Joseph Barrell's time-elevation plot from 1918:
Wheeler's first chronostratigraphic diagram (Wheeler, 1964) might look something like this:
'stratigraph' is best suited for more complex datasets, for example the ones derived from experiments where the surface topography is carefully tracked through time. For example, this is a dip section through the deposits of the XES-02 experiment, which was run at St. Anthony Falls Laboratory, University of Minnesota:
The cross section in the upper panel is colored by water depth (not grain size); the lower panel shows the corresponding Wheeler diagram.
'stratigraph' can also be used to display stratigraphic models in 3D; for example, this is a meandering river model (created with 'meanderpy'):
If you want to show more of the stratigraphy, you can create an 'exploded view':
The 4 jupyter notebooks in this folder illustrate the ways 'stratigraph' can be used to visualize stratigraphy.
Requirements
- matplotlib
- numpy
- pandas
- mayavi
- scipy
- scikit-learn
- scikit-image
- Pillow
- shapely
- tqdm
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