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

Data sets

GeoStat - Examples/gstools-temperature-trend: v1.0 Sebastian Müller https://doi.org/10.5281/zenodo.5159728

GeoStat - Examples/gstools-connectivity-and-transport: v1.0 Sebastian Müller and Alraune Zech https://doi.org/10.5281/zenodo.5159578

GeoStat -- Examples/gstools-pumping-test-ensemble: v1.0 Sebastian Müller and Alraune Zech https://doi.org/10.5281/zenodo.4891875

GeoStat - Examples/gstools-herten-example: v1.0 Lennart Schüler and Sebastian Müller https://doi.org/10.5281/zenodo.5159658

Model code and software

GeoStat - Framework/GSTools: v1.3.5 "Pure Pink" Sebastian Müller and Lennart Schüler https://doi.org/10.5281/zenodo.5883346

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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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