This is an open source python module for mineral resource estimation and geostatistics. It consists of four main sub modules:
gslib. This is for geostatistics and interpolation. It was built with [GSLIB Fortran 77 code] (http://www.statios.com/Quick/gslib.html) enhanced and wrapped to Python with f2py.drillhole. This is for basic drillhole operations, such as compositing and desurveying.blockmodel. This is for block modelling, it has functions to fill wireframes with blocks, reblocking, among others.vtktools. This is for 3D computational geometry based on VTK, for example, to select samples within wireframes. It also handles VTK files.nonlinear. This module is under construction! It is an experimental module for nonlinear geostatistics based on the Discrete Gaussian Model.
version = '0.0.0.3.8.4'
This means that we are in a very early developing stage and the package is experimental!
Visit the PyGSLIB online help. There is also a Youtube channel with some demonstrations
You can also find some examples at the Ipython notebook templates and examples, but keep in mind that this may not include some new functionality.
If you are planning to use or modify this library you may understand the code organization. The code is organized in two separated folders
- one with Cython code named cython_code
- one with Fortran 90 code named for_code
In addition you have the pygslib and pygslib/gslib folder with some sample data and the init.py
files that link the submodules written in fortran and cython.
The easiest way to install and work with PyGSLIB is using an Anaconda (conda) distribution. To install PyGSLIB in the root environment of your anaconda distribution simply type in a terminal:
$ conda install -c opengeostat pygslib
This is the most update but unstable development version. You may manually
install all the dependencies and make sure you have gfortran available.
For development use the following shell script/commands.
$ git clone https://github.com/opengeostat/pygslib.git
$ cd pygslib
$ python setup.py develop
To update this module as contributor, make changes and the update git (requesting a pull).
See this [tutorial] (https://opengeostat.github.io/pygslib/Tutorial.html), this video demonstrations and the [Ipython notebook examples] ( https://github.com/opengeostat/pygslib/tree/master/pygslib/Ipython_templates).
Copyright 2016, Adrian Martinez Vargas
Supported by Opengeostat Consulting @ http://opengeostat.com/
This software may be modified and distributed under the terms of the MIT and GPL licenses.
Wednesday, 21 of September 2016