==== Home ==== Welcome to SciKit GStat ======================= `Download the docs as PDF `_ SciKit-Gstat is a scipy-styled analysis module for variogram analysis. The base class is called :class:`Variogram `, which is probably the only import needed. However, several other classes exist: * :class:`DirectionalVariogram ` for directional variograms * :class:`SpaceTimeVariogram ` for spatio-temporal variograms * :class:`OrdinaryKriging ` for interpolation * :class:`MetricSpace ` for pre-computed spatial samples 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 .. toctree:: :maxdepth: 3 :caption: Contents: install getting_started userguide/userguide auto_examples/index technical/technical reference/reference changelog