Using an Unstructured Grid

For many applications, the random fields are needed on an unstructured grid. Normally, such a grid would be read in, but we can simply generate one and then create a random field at those coordinates.

import numpy as np

import gstools as gs

Creating our own unstructured grid

seed = gs.random.MasterRNG(19970221)
rng = np.random.RandomState(seed())
x = rng.randint(0, 100, size=10000)
y = rng.randint(0, 100, size=10000)

model = gs.Exponential(dim=2, var=1, len_scale=[12, 3], angles=np.pi / 8)
srf = gs.SRF(model, seed=20170519)
field = srf((x, y))
srf.vtk_export("field")
# Or create a PyVista dataset
# mesh = srf.to_pyvista()
ax = srf.plot()
ax.set_aspect("equal")
Field 2D unstructured: (10000,)

Comparing this image to the previous one, you can see that be using the same seed, the same field can be computed on different grids.

Total running time of the script: ( 0 minutes 1.146 seconds)

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