Computational Notebook to Plot Offset Measurements Along Strike-Slip Faults

This Jupyter notebook is intended to visualize any dataset of offset measurements along a fault, including datasets for single or multiple earthquakes. It is used to plot recent, geomorphic, and synthetic offset measurements for the companion manuscript: Limited preservation of strike-slip surface displacement in the geomorphic record by N.G. Reitman, Y. Klinger, R. Briggs, and R. Gold in Journal of Geophysical Research Solid Earth. This computational notebook (plot_offsets.ipynb) plots offset measurements and their uncertainties along faults. The notebook can plot offset measurements along faults of all rakes (strike-slip, normal, and reverse) and faults with single or multiple earthquakes. It can handle datasets from one or multiple faults simultaneously.. The input is one comma-separated variable (CSV) file for each dataset with the columns (1) offset measurements, (2) offset measurement minimums, (3) offset measurement maximums, and (4) distance along the fault for each measurement. The output is a figure that depicts the measurements with six treatments: 1) A plot of offset measurements with uncertainty plotted by distance along the fault. 2) All offset measurements with uncertainty plotted from largest to smallest. 3) A two-dimensional (2D) cumulative offset probability density (COPD) plot depicting offset amount and offset probability by distance along the fault. 4) A one-dimensional COPD (1D-COPD) depicting offset amount and offset probability. 5) A 2D kernel density estimate (KDE) depicting offset amount, measurement density, and distance along the fault. 6) A 1D-KDE depicting offset amount and measurement density.

[
  "010:12"
]

[
  "geospatial"
]