Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2505-2022
https://doi.org/10.5194/gmd-15-2505-2022
Model description paper
 | 
25 Mar 2022
Model description paper |  | 25 Mar 2022

SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python

Mirko Mälicke

Model code and software

mmaelicke/scikit-gstat: A scipy flavoured geostatistical variogram analysis toolbox Mirko Mälicke, Romain Hugonnet, Helge David Schneider, Sebastian Müller, Egil Möller, and Johan Van de Wauw https://doi.org/10.5281/zenodo.5970098

SciKit-GStat companion code Mirko Mälicke https://doi.org/10.5281/zenodo.5970217

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Short summary
I preset SciKit-GStat, a well-documented and tested Python package for variogram estimation. The variogram is the core means of geostatistics, which almost all other methods rely on. Geostatistical interpolation and field generation are widely spread in geoscience, i.e., for data assimilation or modeling. While SciKit-GStat focuses on effective and intuitive variogram estimation, it can interface with other prominent packages and make its variograms available for a multitude of methods.