GeostatTools: A geostatistical toolbox.
Project description
# Welcome to GeoStatTools
[](https://gstools.readthedocs.io/en/latest/)
## Purpose
GeoStatTools is a library providing geostatistical tools.
## Documentation for GeoStatTools
You can find the documentation [here][doc_link].
[doc_link]: https://gstools.readthedocs.io/en/latest/
## 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.
```python
import numpy as np
from gstools.field import SRF
x = np.arange(0, 10, 120)
y = np.arange(-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')
```
## License
[GPL][gpl_link] © 2018
[gpl_link]: https://github.com/LSchueler/GSTools/blob/master/LICENSE
[](https://gstools.readthedocs.io/en/latest/)
## Purpose
GeoStatTools is a library providing geostatistical tools.
## Documentation for GeoStatTools
You can find the documentation [here][doc_link].
[doc_link]: https://gstools.readthedocs.io/en/latest/
## 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.
```python
import numpy as np
from gstools.field import SRF
x = np.arange(0, 10, 120)
y = np.arange(-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')
```
## License
[GPL][gpl_link] © 2018
[gpl_link]: https://github.com/LSchueler/GSTools/blob/master/LICENSE
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