Transform 22

Conditioned Fields

Kriged fields tend to approach the field mean outside the area of observations. To generate random fields, that coincide with given observations, but are still random according to a given covariance model away from the observations proximity, we provide the generation of conditioned random fields.

The idea behind conditioned random fields builds up on kriging. First we generate a field with a kriging method, then we generate a random field, with 0 as mean and 1 as variance that will be multiplied with the kriging standard deviation.

To do so, you can instantiate a CondSRF class with a configured Krige class.

The setup of the a conditioned random field should be as follows:

krige = gs.Krige(model, cond_pos, cond_val)
cond_srf = gs.CondSRF(krige)
field = cond_srf(grid)