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Welcome to SciKit GStat#

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SciKit-Gstat is a scipy-styled analysis module for variogram analysis. The base class is called Variogram, which is probably the only import needed. However, several other classes exist:

The variogram classes have a similar interface and can compute experimental variograms and fit theoretical variogram model functions. The module makes use of a rich selection of semi-variance estimators, variogram model functions and sptial binning functions, while being extensible at the same time.

How to cite#

In case you use SciKit-GStat in other software or scientific publications, please reference this module. There is a GMD publication. Please cite it like:

Mälicke, M.: SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python, Geosci. Model Dev., 15, 2505–2532, https://doi.org/10.5194/gmd-15-2505-2022, 2022.

The code itself is published and has a DOI. It can be cited as:

Mirko Mälicke, Romain Hugonnet, Helge David Schneider, Sebastian Müller, Egil Möller, & Johan Van de Wauw. (2022). mmaelicke/scikit-gstat: Version 1.0 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.5970098

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