📄 gslib help lusim.htm
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<H2>GSLIB Help Page: LUSIM</H2></CENTER>
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<STRONG>Description:</STRONG>
<UL>
<LI>Creates Gaussian-based realizations with LU matrix method </LI></UL>
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<STRONG>Parameters:</STRONG>
<UL>
<LI><B>datafl:</B> the input data are in a simplified Geo-EAS formatted
file.
<LI><B>icolx, icoly, icolz,</B> and <B>icolvr:</B> the column numbers for
the <I>x,y</I> and <I>z</I> coordinates, and the variable to be simulated.
One or two of the coordinate column numbers can be set to zero which
indicates that the simulation is 2-D or 1-D.
<LI><B>tmin</B> and <B>tmax:</B> all values strictly less than <B>tmin</B>
and strictly greater than <B>tmax</B> are ignored.
<LI><B>idbg:</B> an integer debugging level between 0 and 3. The higher the
debugging level the more output.
<LI><B>dbgfl:</B> a file for the debugging output.
<LI><B>outfl:</B> the output grid is written to this file. The output file
will contain the grid, cycling fastest on <I>x</I> then <I>y</I> then
<I>z</I> and last per simulation.
<LI><B>nsim:</B> the number of simulations to generate.
<LI><B>nx, xmn, xsiz:</B> definition of the grid system (<I>x</I> axis).
<LI><B>ny, ymn, ysiz:</B> definition of the grid system (<I>y</I> axis).
<LI><B>nz, zmn, zsiz:</B> definition of the grid system (<I>z</I> axis).
<LI><B>seed:</B> random number seed (a large odd integer).
<LI><B>nst</B> and <B>c0:</B> the number of variogram structures and the
isotropic nugget constant.
<LI>For each of the <B>nst</B> nested structures one must define <B>it</B>
the type of structure; <B>cc</B> the <I>c</I> parameter;
<B>ang1,ang2,ang3</B> the angles defining the geometric anisotropy;
<B>aa_hmax</B>, the maximum horizontal range; <B>aa_hmin</B>, the minimum
horizontal range; and <B>aa_vert</B>, the vertical range. </LI></UL>
<DT><IMG height=14 alt=o src="GSLIB Help LUSIM.files/ball.red.gif" width=14>
<STRONG>Application notes:</STRONG>
<UL>
<LI>This program requires standard normal data and writes standard normal
simulated values. Normal score transform and back transform are to be
performed outside of this program
<LI>Recall that the power model is not a legitimate model for a
multiGaussian phenomenon and it is not allowed in <TT>lusim</TT>
<LI>The semivariogram model is that of the normal scores. The kriging
variance is directly interpreted as the variance of the conditional
distribution; consequently, the nugget constant <B>c0</B> and <B>c</B>
(sill) parameters should add to 1.0. </LI></UL></DT></DL><IMG height=8 alt=---
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