GSLIB Help Page: Programs
Coordinate transformation:
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Probability distribution weighting, transformation,
and smoothing:
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declus cell declustering
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nscore normal score transformation
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backtr back transformation from normal scores
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trans general distribution transformation
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histsmth smooth histogram / univariate
distribution
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scatsmth smooth scaterplot / bivariate
distribution (see also bivplt)
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Variograms:
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gam variogram calculation of regular grid
(use vargplt to plot results)
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gamv variogram calculation of scattered data
(use vargplt to plot results)
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varmap variogram map / volume calculation
(use pixelplt to plot results)
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vmodel creates a variogram from an analytical
model that can be plotted with vargplt
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bigaus can be used to get the indicator
variograms from a Gaussian or normal scores variogram
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The "variogram type" is specified by an integer
code. The type of variogram model is specified
by another integer code.
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Kriging:
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kb2d straightforward 2-D kriging
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kt3d flexible 3-D kriging
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cokb3d cokriging
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ik3d indicator kriging
(use postik to postprocess results)
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Stochastic simulation:
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draw simple Monte Carlo stochastic simulation
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lusim LU matrix Gaussian simulation
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sgsim sequential Gaussian simulation
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gtsim truncated Gaussian simulation (uses the
result of sgsim and proportion curves)
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sisim sequential indicator simulation including
categorical and continuous and Markov-Bayes (program
bicalib is used to process calibration data)
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pfsim probability field simulation
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ellipsim 3-D ellipsoid simulation
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anneal annealing-based post processing /
simulation
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sasim annealing-based simulation and
cosimulation
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postsim is used to post process a number of
simulated realizations
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PostScript plotting:
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histplt histogram and cumulative histogram
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probplt normal and lognnormal probability plot
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scatplt scatterplot
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qpplt Q-Q or P-P plot to compare two
distributions
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locmap gray and color 2-D data location map
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pixelplt gray and color 2-D pixel map
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bivplt plot a smoothed bivariate probability
distribution with the marginal distributions