This is a collection of geostatistical scripts written in Python
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I am implementing ideas from Clayton V. Deutsch's book Geostatistical Reservoir Modeling in order to better understand geostatistics. I am working through things first in Python in order to prototype things quickly and make sure I understand them. Later I will try to optimize the code for speed.

I used as a starting point to understand kriging. There is also an R package for geostatistics named gstat, but I have not used it yet.

This software is licensed under the MIT License.

Installation and Dependencies

This package depends on:

  • numpy, the fundamental package for scientific computing with Python.
  • matplotlib, a Python 2D plotting library which produces publication quality figures. <a href="
  • scipy, a Python library which provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. <a href="
  • pandas, a Python library which implements excellent tools for data analysis and modeling.

The best/easiest way to install these packages is to use one of the Python distributions described here:

Anaconda has been successfully tested with geostatsmodels.

Most of those distributions should include pip, a command line tool for installing and managing Python packages. You can use pip to install geostatsmodels itself.

You may need to open a new terminal window to ensure that the newly installed versions of python and pip are in your path.

To install geostatsmodels:

pip install git+git://

Uninstalling and Updating

To uninstall:

pip uninstall geostatsmodels

To update:

pip install -U git+git://


Some notebooks exploring some of the functionality of geostatsmodels is included in this repository.

Variogram Analysis

Kriging Example

More of these will follow.