swprocess Documentation
swprocess is a Python package for surface wave processing.
swprocess supports:
processing of active-source surface wave data (i.e., MASW),
post-processing of passive-wavefield surface wave data (i.e., MAM) processed using Geopsy,
combining active-source and/or passive-wavefield dispersion data from different arrays, and
calculation of rigorous surface wave dispersion statistics.
If you use swprocess in your research or consulting please cite the following:
Vantassel, J. P. (2021). jpvantassel/swprocess: latest (Concept). Zenodo. https://doi.org/10.5281/zenodo.4584128
Vantassel, J. P. & Cox, B. R. (2022). “SWprocess: a workflow for developing robust estimates of surface wave dispersion uncertainty”. Journal of Seismology. https://doi.org/10.1007/s10950-021-10035-y
Note: For software, version specific citations should be preferred to general concept citations, such as that listed above. To generate a version specific citation for swprocess, please use the citation tool on the swprocess archive.
This package is actively being developed, so if you do not see a feature you
would like it may very well be under development and released in
the near future. To be notified of future releases, you can either
watch
the repository on
Github or
Subscribe to releases
on the
Python Package Index (PyPI).