## GSLIB Help Page: Programs

Coordinate transformation:

- addcoord add coordinates to a GSLIB grid file
- rotcoord 2-D coordinate rotation

Probability distribution weighting, transformation, and smoothing:

- declus cell declustering
- nscore normal score transformation
- backtr back transformation from normal scores
- trans general distribution transformation
- histsmth smooth histogram / univariate distribution
- scatsmth smooth scaterplot / bivariate distribution (see also bivplt)

Variograms:

- gam variogram calculation of regular grid (use vargplt to plot results)
- gamv variogram calculation of scattered data (use vargplt to plot results)
- varmap variogram map / volume calculation (use pixelplt to plot results)
- vmodel creates a variogram from an analytical model that can be plotted with vargplt
- bigaus can be used to get the indicator variograms from a Gaussian or normal scores variogram
- The "variogram type" is specified by an integer code. The type of variogram model is specified by another integer code.

Kriging:

- kb2d straightforward 2-D kriging
- kt3d flexible 3-D kriging
- cokb3d cokriging
- ik3d indicator kriging (use postik to postprocess results)

Stochastic simulation:

- draw simple Monte Carlo stochastic simulation
- lusim LU matrix Gaussian simulation
- sgsim sequential Gaussian simulation
- gtsim truncated Gaussian simulation (uses the result of sgsim and proportion curves)
- sisim sequential indicator simulation including categorical and continuous and Markov-Bayes (program bicalib is used to process calibration data)
- pfsim probability field simulation
- ellipsim 3-D ellipsoid simulation
- anneal annealing-based post processing / simulation
- sasim annealing-based simulation and cosimulation
- postsim is used to post process a number of simulated realizations

PostScript plotting:

- histplt histogram and cumulative histogram
- probplt normal and lognnormal probability plot
- scatplt scatterplot
- qpplt Q-Q or P-P plot to compare two distributions
- locmap gray and color 2-D data location map
- pixelplt gray and color 2-D pixel map
- bivplt plot a smoothed bivariate probability distribution with the marginal distributions