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AI-GEOSTATS: Gstat: multivariable geostatistics for S (R and S-Plus)

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  • Edzer J. Pebesma
    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,
    Message 1 of 1 , Mar 12, 2003
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      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.
      --
      Edzer

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