GeoStatTools is a library providing geostatistical tools.
- numpy
- scipy
pip install gstools
You can find the documentation here.
The core of this library is the generation of spatial random fields. These fields are generated using the randomisation method, described by Heße et al. 2014.
This is an example of how to generate a 2 dimensional spatial random field with a Gaussian covariance structure.
import numpy as np
from gstools.field import SRF
x = np.linspace(0, 10, 120)
y = np.linspace(-5, 5, 100)
cov_model = {'dim': 2, 'var': 1.6, 'len_scale': 4.5, 'model': 'gau', 'mode_no': 1000}
srf = SRF(**cov_model)
field = srf(x, y, seed=19970221, mesh_type='structured')The spatial structure of a field can be analyzed with the variogram, which contains the same information as the covariance function.
This is an example of how to estimate the variogram of a 2 dimensional unstructured field.
import numpy as np
from gstools.field import SRF
from gstools import variogram
#random samples between 0 <= x, y < 100
x = np.random.rand(1000) * 100.
y = np.random.rand(1000) * 100.
srf = SRF(dim=2, var=2, len_scale=30)
field = srf(x, y, seed=20011012)
bins = np.arange(0, 50)
gamma = variogram.estimate_unstructured(field, bins, x, y)GPL © 2018
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