Gstat 2.0g
Gstat is a computer program for geostatistical modelling, prediction and
simulation. Gstat works at least on the following platforms: Linux, hp-ux
(9.x, 10.x), aix (3.2, 4.1), OSF/Alpha, SunOS, SGI, win32 and MS-DOS (dpmi).
Gstat is free (GPL'd) software,
available in binary or source code form.
-
The win32 (95/98/NT) beta version of gstat 2.1 and gnuplot 3.7
(here), compiled with cygwin 20.1.
-
find out about the new windows front end: read the
release notes and download the
binary
-
read what is new in version 2.0g
-
read the online manual
-
download:
-
the complete sources,
(as gzip'd tar-file)
-
the manual, (a
gzip'd PostScript file, 80 pages)
-
linux 2.0g
binaries (including gnuplot, gzip'd tar file with linux-ELF binaries)
-
dos/dpmi binaries
(compiled with djgpp v. 2.0)
-
K.M. Syring's win32 (NT) port of gstat (and gnuplot) from
here or
here
-
gunzip.exe to gunzip
files with extension .gz (for MS-DOS)
-
read about the article on gstat in Computers and Geosciences
24(1)
-
if your files are saved as .exe files that won't execute, then read this
note
-
read what was new in 1.9j
If you want to be informed about new releases of gstat, subscribe to
the gstat-announce mailing list. If you have
a question regarding the use of gstat, subscribe (and send a message)
to the gstat-info mailing list. If you don't
succeed, send a message to me.
View
-
a screen snapshot
of the variogram modelling interface (linux/x11)
-
the example gstat
command files, with links to input and output maps
-
a plot of a fitted variogram
(gnuplot gif output)
-
a number of basic
variogram models supported by gstat.
-
two animated gifs
with conditional and unconditional simulations (each about 500 Kb)
Gstat uses gnuplot for the display of sample variograms and variogram functions.
Gnuplot is a program for plotting functions and data. Gnuplot is ported
to most computer platforms, and allows saving graphs in many formats (eps,
cgm, gif, etc.). Gnuplot 3.5 is installed on many platforms, gnuplot 3.6
(used by Gstat for the nonlinear fitting of variogram functions to sample
variograms) is in almost completed beta-version.
Here, you'll find links to