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 -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
