We promote the use of geostatistical methods in environmental applications
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
geoeas, GEOEAS is a collection of interactive software tools for performing two-dimensional geostatistical analyses of spatially distributed data.
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.
gslib, GSLIB is an acronym for Geostatistical Software LIBrary.
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.
hydrogen, A Spatially Distributed Random Field Generator for Correlated Properties
IHW Software, Freewares provided by the Institute of Hydromechanics (ETHZ)
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.
R-spatial, A complete description of all activity in and around R, concerning
spatial statistics and linking of R to GIS
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.
Stanford Open Source, Entry page for the different codes developped by the Stanford Center for Reservoir Forecasting
uncert, Geostatistical Uncertainty Analysis Package Applied to Groundwater Flow and Contaminant Transport Modeling