This is an implementation of ideas from Clayton V. Deutsch and Michael Pyrcz'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.
There is also an R package for geostatistics named gstat, but I have not used it much.
This software is licensed under the MIT License.
This package depends on:
numpy, the fundamental package for scientific computing with Python.
matplotlib, a Python 2D plotting library which produces publication quality figures.
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
conda, which are command line tools 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://github.com/cjohnson318/geostatsmodels.git
pip uninstall geostatsmodels
pip install -U git+git://github.com/cjohnson318/geostatsmodels.git
Some notebooks exploring the functionality of
geostatsmodels are included below.
More to come!