PyKrige Documentation - Read the Docs
PyKrige Documentation
Release 1.7.2.dev11
PyKrige developers
May 27, 2024
CONTENTS
1
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Variogram Models
2.1 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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3
API Reference
3.1 Krigging algorithms . . . . . . . . . . . . . .
3.1.1
pykrige.ok.OrdinaryKriging . . . . .
3.1.2
pykrige.uk.UniversalKriging . . . . .
3.1.3
pykrige.ok3d.OrdinaryKriging3D . .
3.1.4
pykrige.uk3d.UniversalKriging3D . .
3.1.5
pykrige.rk.RegressionKriging . . . .
3.2 Wrappers . . . . . . . . . . . . . . . . . . . .
3.2.1
pykrige.rk.Krige . . . . . . . . . . . .
3.3 Tools . . . . . . . . . . . . . . . . . . . . . .
3.3.1
pykrige.kriging_tools.write_asc_grid .
3.3.2
pykrige.kriging_tools.read_asc_grid .
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37
Examples
4.1 Universal Kriging Example . . . . .
4.2 Ordinary Kriging Example . . . . . .
4.3 GSTools Interface . . . . . . . . . .
4.4 Exact Values . . . . . . . . . . . . .
4.5 Regression kriging . . . . . . . . . .
4.6 Classification kriging . . . . . . . . .
4.7 Geometric example . . . . . . . . . .
4.8 Three-Dimensional Kriging Example
4.9 Krige CV . . . . . . . . . . . . . . .
4.10 1D Kriging . . . . . . . . . . . . . .
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39
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57
4
PyKrige
1.1 Purpose . . . . . . . . . . . . . . .
1.2 Installation . . . . . . . . . . . . .
1.3 Features . . . . . . . . . . . . . . .
1.3.1
Kriging algorithms . . . .
1.3.2
Wrappers . . . . . . . . .
1.3.3
Tools . . . . . . . . . . .
1.3.4
Kriging Parameters Tuning
1.3.5
Regression Kriging . . . .
1.3.6
Classification Kriging . . .
1.4 License . . . . . . . . . . . . . . .
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5
Changelog
5.1 Version 1.7.2
5.2 Version 1.7.1
5.3 Version 1.7.0
5.4 Version 1.6.1
5.5 Version 1.6.0
5.6 Version 1.5.1
5.7 Version 1.5.0
5.8 Version 1.4.1
5.9 Version 1.4.0
5.10 Version 1.3.1
5.11 Version 1.3.0
5.12 Version 1.2.0
5.13 Version 1.1.0
5.14 Version 1.0.3
5.15 Version 1.0 .
5.16 Version 0.2.0
5.17 Version 0.1.2
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Bibliography
67
Index
69
ii
CHAPTER
ONE
PYKRIGE
Kriging Toolkit for Python.
1.1 Purpose
The code supports 2D and 3D ordinary and universal kriging. Standard variogram models (linear, power, spherical,
gaussian, exponential) are built in, but custom variogram models can also be used. The 2D universal kriging code
currently supports regional-linear, point-logarithmic, and external drift terms, while the 3D universal kriging code
supports a regional-linear drift term in all three spatial dimensions. Both universal kriging classes also support generic
¡®specified¡¯ and ¡®functional¡¯ drift capabilities. With the ¡®specified¡¯ drift capability, the user may manually specify the
values of the drift(s) at each data point and all grid points. With the ¡®functional¡¯ drift capability, the user may provide
callable function(s) of the spatial coordinates that define the drift(s). The package includes a module that contains
functions that should be useful in working with ASCII grid files (\*.asc).
See the documentation at for more details and examples.
1.2 Installation
PyKrige requires Python 3.5+ as well as numpy, scipy. It can be installed from PyPi with,
pip install pykrige
scikit-learn is an optional dependency needed for parameter tuning and regression kriging. matplotlib is an optional
dependency needed for plotting.
If you use conda, PyKrige can be installed from the channel with,
conda install -c conda-forge pykrige
1
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