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<!-- saved from url=(0045)http://www.gslib.com/gslib_help/programs.html -->
<HTML><HEAD><TITLE>GSLIB Help Page: Programs</TITLE>
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<BODY bgColor=#ffffff><IMG height=8 alt=--- 
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<H2>GSLIB Help Page: Programs</H2></CENTER>
<DL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>Coordinate transformation:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/addcoord.html">addcoord</A> add 
    coordinates to a GSLIB grid file 
    <LI><A href="http://www.gslib.com/gslib_help/rotcoord.html">rotcoord</A> 2-D 
    coordinate rotation </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>Probability distribution weighting, transformation, and 
  smoothing:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/declus.html">declus</A> cell 
    declustering 
    <LI><A href="http://www.gslib.com/gslib_help/nscore.html">nscore</A> normal 
    score transformation 
    <LI><A href="http://www.gslib.com/gslib_help/backtr.html">backtr</A> back 
    transformation from normal scores 
    <LI><A href="http://www.gslib.com/gslib_help/trans.html">trans</A> general 
    distribution transformation 
    <LI><A href="http://www.gslib.com/gslib_help/histsmth.html">histsmth</A> 
    smooth histogram / univariate distribution 
    <LI><A href="http://www.gslib.com/gslib_help/scatsmth.html">scatsmth</A> 
    smooth scaterplot / bivariate distribution (see also <A 
    href="http://www.gslib.com/gslib_help/bivplt.html">bivplt</A>) </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>Variograms:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/gam.html">gam</A> variogram 
    calculation of regular grid (use <A 
    href="http://www.gslib.com/gslib_help/vargplt.html">vargplt</A> to plot 
    results) 
    <LI><A href="http://www.gslib.com/gslib_help/gamv.html">gamv</A> variogram 
    calculation of scattered data (use <A 
    href="http://www.gslib.com/gslib_help/vargplt.html">vargplt</A> to plot 
    results) 
    <LI><A href="http://www.gslib.com/gslib_help/varmap.html">varmap</A> 
    variogram map / volume calculation (use <A 
    href="http://www.gslib.com/gslib_help/pixelplt.html">pixelplt</A> to plot 
    results) 
    <LI><A href="http://www.gslib.com/gslib_help/vmodel.html">vmodel</A> creates 
    a variogram from an analytical model that can be plotted with <A 
    href="http://www.gslib.com/gslib_help/vargplt.html">vargplt</A> 
    <LI><A href="http://www.gslib.com/gslib_help/bigaus.html">bigaus</A> can be 
    used to get the indicator variograms from a Gaussian or normal scores 
    variogram 
    <LI>The "variogram type" is specified by an <A 
    href="http://www.gslib.com/gslib_help/vtype.html">integer code</A>. The type 
    of <A href="http://www.gslib.com/gslib_help/vmtype.html">variogram model</A> 
    is specified by another integer code. </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>Kriging:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/kb2d.html">kb2d</A> 
    straightforward 2-D kriging 
    <LI><A href="http://www.gslib.com/gslib_help/kt3d.html">kt3d</A> flexible 
    3-D kriging 
    <LI><A href="http://www.gslib.com/gslib_help/cokb3d.html">cokb3d</A> 
    cokriging 
    <LI><A href="http://www.gslib.com/gslib_help/ik3d.html">ik3d</A> indicator 
    kriging (use <A 
    href="http://www.gslib.com/gslib_help/postik.html">postik</A> to postprocess 
    results) </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>Stochastic simulation:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/draw.html">draw</A> simple 
    Monte Carlo stochastic simulation 
    <LI><A href="http://www.gslib.com/gslib_help/lusim.html">lusim</A> LU matrix 
    Gaussian simulation 
    <LI><A href="http://www.gslib.com/gslib_help/sgsim.html">sgsim</A> 
    sequential Gaussian simulation 
    <LI><A href="http://www.gslib.com/gslib_help/gtsim.html">gtsim</A> truncated 
    Gaussian simulation (uses the result of <A 
    href="http://www.gslib.com/gslib_help/sgsim.html">sgsim</A> and proportion 
    curves) 
    <LI><A href="http://www.gslib.com/gslib_help/sisim.html">sisim</A> 
    sequential indicator simulation including categorical and continuous and 
    Markov-Bayes (program <A 
    href="http://www.gslib.com/gslib_help/bicalib.html">bicalib</A> is used to 
    process calibration data) 
    <LI><A href="http://www.gslib.com/gslib_help/pfsim.html">pfsim</A> 
    probability field simulation 
    <LI><A href="http://www.gslib.com/gslib_help/ellipsim.html">ellipsim</A> 3-D 
    ellipsoid simulation 
    <LI><A href="http://www.gslib.com/gslib_help/anneal.html">anneal</A> 
    annealing-based post processing / simulation 
    <LI><A href="http://www.gslib.com/gslib_help/sasim.html">sasim</A> 
    annealing-based simulation and cosimulation 
    <LI><A href="http://www.gslib.com/gslib_help/postsim.html">postsim</A> is 
    used to post process a number of simulated realizations </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help Page Programs.files/ball.red.gif" 
  width=14> <STRONG>PostScript plotting:</STRONG> 
  <UL>
    <LI><A href="http://www.gslib.com/gslib_help/histplt.html">histplt</A> 
    histogram and cumulative histogram 
    <LI><A href="http://www.gslib.com/gslib_help/probplt.html">probplt</A> 
    normal and lognnormal probability plot 
    <LI><A href="http://www.gslib.com/gslib_help/scatplt.html">scatplt</A> 
    scatterplot 
    <LI><A href="http://www.gslib.com/gslib_help/qpplt.html">qpplt</A> Q-Q or 
    P-P plot to compare two distributions 
    <LI><A href="http://www.gslib.com/gslib_help/locmap.html">locmap</A> gray 
    and color 2-D data location map 
    <LI><A href="http://www.gslib.com/gslib_help/pixelplt.html">pixelplt</A> 
    gray and color 2-D pixel map 
    <LI><A href="http://www.gslib.com/gslib_help/bivplt.html">bivplt</A> plot a 
    smoothed bivariate probability distribution with the marginal distributions 
    </LI></UL></DT></DL><IMG height=8 alt=--- 
src="GSLIB Help Page Programs.files/line.blue.gif" width=652>
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