GeostatTools: A geostatistical toolbox.
Project description
Welcome to GeoStatTools
Purpose
GeoStatTools is a library providing geostatistical tools.
Installation
Requirements:
- numpy
- scipy
Installation:
pip install gstools
Documentation for GeoStatTools
You can find the documentation here.
Spatial Random Field Generation
The core of this library is the generation of spatial random fields.
Example
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')
Estimating variograms
The spatial structure of a field can be analyzed with the variogram, which contains the same information as the covariance function.
Example
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)
License
GPL © 2018
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