AI-GEOSTATS: Gstat: multivariable geostatistics for S (R and S-Plus)
- The majority of the functionality present in the gstat stand-alone
program (http://www.gstat.org/) is now available as a package/library for
the S language (R, S-Plus), again called gstat. The package provides
multivariable geostatistical modelling, prediction and simulation, as
well as several visualisation functions. Gstat was started 10 years
ago and was released under the GPL in 1996; the original stand-alone
program is closely linked to several GIS systems. Gstat was not initially
written for teaching purposes, but for research purposes, emphasizing
flexibility, scalability and portability. It can deal with a large number
of practical issues in geostatistics, including change of support (block
kriging), simple/ordinary/universal (co)kriging, fast local neighbourhood
selection, flexible trend modelling, variables with different sampling
configurations, and efficient simulation of large spatially correlated
random fields, indicator kriging and simulation, and (directional)
variogram and cross variogram modelling. The S formula/models interface
is used to define multivariable geostatistical models.
The source and windows package for R are available from CRAN. The page on
http://www.gstat.org/s.html has links to R and S-Plus (6.x) source code,
as well as examples, graphs, and a longer list of features. (A binary
Win32 S-Plus library is planned later this year.)
On http://www.ci.tuwien.ac.at/Conferences/DSC-2003/ you can find a
draft paper further describing the package.
Any feedback is appreciated.
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