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 http://people.ku.edu/~gbohling/cpe940 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. http://www.numpy.org/
- matplotlib, a Python 2D plotting library which produces publication quality figures. <a href="http://matplotlib.org/index.html
- scipy, a Python library which provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. <a href="http://www.scipy.org/scipylib/index.html
- 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://github.com/cjohnson318/geostatsmodels.git
Uninstalling and Updating
pip uninstall geostatsmodels
pip install -U git+git://github.com/cjohnson318/geostatsmodels.git
Some notebooks exploring some of the functionality of geostatsmodels is included in this repository.
More of these will follow.