mGstat : A Geostatistical Matlab toolbox (Kriging, multiple point, simualation)

mGstat : A Geostatistical Matlab toolbox

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Download the latest mGstat

You can also get the latest development release using SVN:
svn checkout svn://svn.code.sf.net/p/mgstat/code/trunk/mGstat mGstat
Documentation

mGstat user guide : [PDF] [HTML]

Introduction

mGstat aims to be a geostatistical toolbox for Matlab.

It provides

Native kriging kriging algorithms

Simple kriging, ordinary kriging and Universial/Kriging with a trend are available. All methods support data observations in ND-space. Thus, for example Time-Space kriging can be used.
Synthetic semivariogram can be calculated using both GSLIB and GSTAT syntax. Experimental semivariograms can be calculated from data observations.
[.. more info in the manual]

An interface to GSTAT

mGstat provides an interface to GSTAT[www], which is a popular open source computer code for multivariate geostatistical modelling.
The interface enable one to call gstat and have the output returned seamlessly into Matlab.
The interface makes it straightforward to call GSTAT using Matlab as a scripting language.
[..more info in the manual]

An interface to VISIM

VISIM[www] is a GSLIB style program that can be used to solve linear inverse problems, using either Sequential Gaussian Simulation or Direct Sequential Simulation (with histogram reproduction) conditioned to noisy block data.
It can also function as a conventional point based simulation algorithm.
The mGstat interface enables one to read VISIM parameter files into a Matlab structure. Any VISIM option can be changed through this structure.
Using mGstat, VISIM can be used to perform Conditional Simulation thorugh Error Simulation.
[..more in the manual]

An interface to SGeMS

SGeMS[www] (the Stanford Geostatistical Modeling Software) can be called interactively from within Matlab. SGeMS provides state of the art geostatistical simulation algorithms, such as multiple-point based SNESIM and FILTERSIM codes, as well as classical 2-point algorithms, such as sequential Gaussian simulation and direct sequential simulation.
[..more in the manual]


(C) 2004-2008 Thomas Mejer Hansen, [mail - www]

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