Open rkenko opened 1 year ago
Hey there,
at the moment this is not possible. All models need to be bounded and therefore have a covariance dependent formulation.
Here is an issue tracking the need of a class for unbounded models: https://github.com/GeoStat-Framework/GSTools/issues/192
The main obstacle is the random field generation, since the randomization method depends on the covariance function associated with the variogram.
For now, I would recommend using a truncated model, where there is an upper bound for the variance. Examples are the truncated linear model and the truncated power law models that are already implemented.
Cheers, Sebastian
Hi,
Is it a way to define a custom variogram model instead of a custom covariance model in order to perform simulation of the field?
I want to define directly the variogram since the field is not stationnary: there is no sill due to the linear component.
This is an example of what i try to do (the current version of the code is not working):