GStools subpackage providing a set of handy covariance models.


plot GStools subpackage providing plotting routines for the covariance models.

Covariance Base-Class

Class to construct user defined covariance models

CovModel([dim, var, len_scale, nugget, …]) Base class for the GSTools covariance models.

Covariance Models

Standard Covariance Models

Gaussian([dim, var, len_scale, nugget, …]) The Gaussian covariance model.
Exponential([dim, var, len_scale, nugget, …]) The Exponential covariance model.
Matern([dim, var, len_scale, nugget, anis, …]) The Matérn covariance model.
Rational([dim, var, len_scale, nugget, …]) The rational quadratic covariance model.
Stable([dim, var, len_scale, nugget, anis, …]) The stable covariance model.
Linear([dim, var, len_scale, nugget, anis, …]) The bounded linear covariance model.
Circular([dim, var, len_scale, nugget, …]) The circular covariance model.
Spherical([dim, var, len_scale, nugget, …]) The Spherical covariance model.
Intersection([dim, var, len_scale, nugget, …]) The Intersection covariance model.

Truncated Power Law Covariance Models

TPLGaussian([dim, var, len_scale, nugget, …]) Truncated-Power-Law with Gaussian modes.
TPLExponential([dim, var, len_scale, …]) Truncated-Power-Law with Exponential modes.
TPLStable([dim, var, len_scale, nugget, …]) Truncated-Power-Law with Stable modes.