This is a R port of:
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An Object-oriented Framework for Geostatistical Modeling in S+

James J. Majure
Iowa State University
Geographic Information Systems
Support and Research Facility 

email: majure@iastate.edu
WWW:   http://www.gis.iastate.edu/SGeoStat/homepage.html
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ported to R:

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Albrecht Gebhardt          email: albrecht.gebhardt@uni-klu.ac.at
Institut fuer Mathematik   Tel. : (++43 463) 2700/837
Universitaet Klagenfurt    Fax  : (++43 463) 2700/834
Villacher Str. 161         WWW  : http://www-stat.uni-klu.ac.at/~agebhard
A-9020 Klagenfurt, Austria
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with contributions from 

Roger Bivand <rsb@reclus.nhh.no>
Department of Geography
Norwegian School of Economics and Business Administration
Bergen, Norway


Differences to the original distribution:

+ I added the functions fit.gaussian() and fit.spherical() similiar to 
  fit.exponential(). 

+ fit.variogram() is a call wrapper for the different variogram fitting 
  procedures.

+ which.na() included for R <-> S compatibility.

+ plot.point() changed: legend.pos parameter added.

+ The function variogram() (for variogram estimation) has been renamed to
  est.variogram() to avoid name conflicts (in the html help system) with the 
  variogram() function from library(spatial) (in Venables/Ripley).

+ Because of the lack of a persp() plot function in R, I changed calls to it 
  (in fit.trend()) to contour().

+ I added a dataset "maas" which originally belongs to "gstat", a geostatistics 
  package from E.J Pebesma (E.J.Pebesma@frw.uva.nl) available at

          http://www.frw.uva.nl/~pebesma/gstat/

  with measurements of zinc as a groundwater quality variable. Details can be 
  found at the URL above, e.g. a GIF-picture (zn_map.gif) with coordinates (it
  is also included here). 

  The dataset "maas.bank" contains coordinates of the maas bank, shown in 
  zn_map.gif. I produced these coordinates by "digitizing" this GIF picture in 
  a rather simple way: I created a drawing with tgif overlaying the imported 
  gif, exported this drawing in a postscript file and scaled the resulting 
  postscript coordinates according to the border of the picture. So the quality
  is rather poor. The files maas.dig and digi.R are related to this procedure.

+ The help pages stem from the original HTML help at

         http://www.gis.iastate.edu/SGeoStat/homepage.html


More differences: see ChangeLog file
