Random Field Generation
The main feature of GSTools is the spatial random field generator SRF
,
which can generate random fields following a given covariance model.
The generator provides a lot of nice features, which will be explained in
the following
GSTools generates spatial random fields with a given covariance model or semi-variogram. This is done by using the so-called randomization method. The spatial random field is represented by a stochastic Fourier integral and its discretised modes are evaluated at random frequencies.
GSTools supports arbitrary and non-isotropic covariance models.
Examples
A Very Simple Example
Creating an Ensemble of Fields
Creating an Ensemble of Fields
Creating Fancier Fields
Using an Unstructured Grid
Merging two Fields
Generating Fields on Meshes
Using PyVista meshes
Higher Dimensions