Transform 22

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.