geoENVia Association
We promote the use of geostatistical methods in environmental applications
   
     
Freewares

BMElib, A toolbox of  Space/Time Geostatistical software algorithms written for MatLab (version 5.3 and later) and working under either Windows or Linux/Unix
Author: Marc L Serre
http://www.unc.edu/depts/case/BMELIB/

geoeas, GEOEAS is a collection of interactive software tools for performing two-dimensional geostatistical analyses of spatially distributed data.
Author: US EPA
http://www.epa.gov/ada/csmos/models/geoeas.html

geossav, GEOSSAV is a tool for the integration of hard and soft data into the stochastic simulation and visualization of distributions of geological structures and hydrogeological properties in the subsurface.
Author: Christian Regli
http://pages.unibas.ch/earth/pract/forschung/geossav/geossav_download_e.htm

gslib, GSLIB is an acronym for Geostatistical Software LIBrary.
Author: Deutsch and Journel
http://www.gslib.com/

gstat, Open-source software for univariable and multivariable geostatistical modelling, prediction and simulation; available as stand-alone program or as S-Plus library or R package.
Author: E.J. Pebesma
http://www.gstat.org/

hydrogen, A Spatially Distributed Random Field Generator for Correlated Properties
Author: Bellin and Rubin
http://www.ing.unitn.it/~bellin/frames/hydrogen.php

IHW Software, Freewares provided by the Institute of Hydromechanics (ETHZ)
Author: Varia
http://www.ihw.ethz.ch/publications/software/index_EN

R, R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
Author: Gentleman, Ihaka, et al.
http://www.r-project.org

R-spatial, A complete description of all activity in and around R, concerning spatial statistics and linking of R to GIS
Author:
http://www.r-project.org/

SGeMS, S-GeMS is a software for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments made at Stanford University.
Author: Nicolas Remy et al.
http://sourceforge.net/projects/sgems/

Stanford Open Source, Entry page for the different codes developped by the Stanford Center for Reservoir Forecasting
Author: Varia
http://pangea.stanford.edu/ERE/research/scrf/resources.software.php

uncert, Geostatistical Uncertainty Analysis Package Applied to Groundwater Flow and Contaminant Transport Modeling
Author: William L. Wingle
http://www.uncert.com/software.shtml

A more extended list of softwares (freeware and commercial) can be found at http://www.ai-geostats.org/bin/view/AI_GEOSTATS/AI_GEOSTATSSoftware