Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 7
Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-3161-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-3161-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 7
Model description paper
 | 
12 Apr 2022
Model description paper |  | 12 Apr 2022

GSTools v1.3: a toolbox for geostatistical modelling in Python

Sebastian Müller, Lennart Schüler, Alraune Zech, and Falk Heße

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Short summary
The GSTools package provides a Python-based platform for geoostatistical applications. Salient features of GSTools are its random field generation, its kriging capabilities and its versatile covariance model. It is furthermore integrated with other Python packages, like PyKrige, ogs5py or scikit-gstat, and provides interfaces to meshio and PyVista. Four presented workflows showcase the abilities of GSTools.
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