S-GeMS 2.1 Description:

SGeMS is a program designed for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments made at the SCRF lab, Stanford University.

SGeMS relies on the Geostatistics Template Library (GsTL) to implement its geostatistical routines, including:

Kriging
Multi-variate kriging (co-kriging)
Sequential Gaussian simulation
Sequential indicator simulation
Multi-variate sequential Gaussian and indicator simulation
Multiple-point statistics simulation

S-GeMS 2.1 Features:

· Comprehensive geostatistical toolbox
· Standard data analysis tools: histogram, QQ-plots, variograms.
· interactive 3D visualization
· Scripting capabilities: SGeMS embeds the Python scripting language, that allows to automatically perform several (repetitive) actions.
· Use of plug-ins to add new geostatistics algorithms, support new file formats, or increase the set of script commands

S-GeMS security information

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