PyVSL 2024.3.16

VS-Lite in Python

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7967102.svg :target: https://doi.org/10.5281/zenodo.7967102

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PyVSL

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VS-Lite in Python. It contains two modes:

1. The wrapper mode. PyVSL implements a python wrapper for VS-Lite in R <https://github.com/suztolwinskiward/VSLiteR>_ and another for VS-Lite in Matlab <https://github.com/suztolwinskiward/VSLite/blob/master/VSLite_v2_3.m>_ , along with a wrapper for the Bayesian estimator of the parameters (in Matlab) <https://github.com/suztolwinskiward/VSLite/blob/master/estimate_vslite_params_v2_3.m>_
2. VS-Lite in pure Python

Documentation

• Homepage: https://fzhu2e.github.io/PyVSL
• Installation: https://fzhu2e.github.io/PyVSL/installation.html
• Tutorial (html): https://fzhu2e.github.io/PyVSL/tutorial.html
• Tutorial (Jupyter notebooks): https://github.com/fzhu2e/PyVSL/tree/master/docsrc/tutorial

References

• Tolwinski-Ward, S. E., Anchukaitis, K. J. & Evans, M. N. Bayesian parameter estimation and interpretation for an intermediate model of tree-ring width. Climate of the Past 9, 1481–1493 (2013).
• Tolwinski-Ward, S. E., Evans, M. N., Hughes, M. K. & Anchukaitis, K. J. An efficient forward model of the climate controls on interannual variation in tree-ring width. Clim Dyn 36, 2419–2439 (2011).

How to cite this repo

This repo can be cited with DOI: 10.5281/zenodo.7967102 <https://doi.org/10.5281/zenodo.7967102>_