Geostatistics¶

Geostatistical Toolbox¶

This toolbox collects all functions needed to run different geostatistical tasks. Variogram analysis can be done with variogram, which wraps the scikit-gstat Variogram class.

Variogram estimation¶

There are two major functions to estimate variograms. The variogram function and the gridsearch, which will select optimal variogram parameters, based on a cross-validated score.

Variogram examples¶

Estimate a Variogram¶

GridSearch optimization¶

Content of hydrobox.geostat:

`variogram`(coordinates, values[, estimator, …])	Uses scikit-gstat to estimate a Variogram.
`gridsearch`(param_grid[, variogram, …])	Automated GridSerarch for best variogram parameters.

Kriging¶

Kriging can be performed, after a variogram was estimated. the Variogram is exported to gstools and one of the Krige classes will be used for kriging.

Kriging examples¶

Ordinary Kriging¶

`simple_kriging`(variogram, grid_resolution, mean)	Use a scikit-gstat `Variogram` to estimate spatial properties of a sample.
`ordinary_kriging`(variogram, grid_resolution)	Use a scikit-gstat `Variogram` to estimate spatial properties of a sample.
`universal_kriging`(variogram, …[, exact, …])	Use a scikit-gstat `Variogram` to estimate spatial properties of a sample.
`ext_drift_kriging`(variogram, …[, exact, …])	Use a scikit-gstat `Variogram` to estimate spatial properties of a sample.

Toolboxes Overview hydrobox.geostat.variogram