gstools.covmodel¶
GStools subpackage providing a set of handy covariance models.
Subpackages¶
base |
GStools subpackage providing the base class for covariance models. |
models |
GStools subpackage providing different covariance models. |
tpl_models |
GStools subpackage providing truncated power law 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 |
Spherical([dim, var, len_scale, nugget, …]) |
The Spherical covariance model |
Linear([dim, var, len_scale, nugget, anis, …]) |
The bounded linear covariance model |
MaternRescal([dim, var, len_scale, nugget, …]) |
The rescaled Matérn covariance model |
SphericalRescal([dim, var, len_scale, …]) |
The rescaled Spherical 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 |