📄 gslib help bigaus.htm
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<H2>GSLIB Help Page: BIGAUS</H2></CENTER>
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<STRONG>Description:</STRONG>
<UL>
<LI>This program allows checking for bivariate normality; a model of the
normal scores variogram is input to <TT>bigaus</TT> The corresponding
indicator semivariograms for specified cutoffs, lags, and directions are
output from the program. The idea is to see how far the experimental
indicator variograms deviate from those implied by the bivariate Gaussian
distribution. A numerical integration algorithm is used to compute the
Gaussian model-derived indicator variograms. </LI></UL>
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<STRONG>Parameters:</STRONG>
<UL>
<LI><B>outfl:</B> the output file for the theoretical Gaussian indicator
semivariograms. The format is the same as that created by the <TT>gam</TT>
program; therefore, the program <TT>vargplt</TT> could be used to plot these
indicator variograms.
<LI><B>ncut:</B> the number of thresholds.
<LI><B>zc(ncut):</B> <B>ncut</B> threshold values are required. These
thresholds are expressed in units of cumulative probability, e.g., the lower
quartile is 0.25, the median is 0.50. Note that the results are symmetric:
the variogram for the 5th percentile (0.05) is the same as the 95th
percentile (0.95).
<LI><B>ndir</B> and <B>nlag:</B> the number of directions and the number of
lags to be considered.
<LI><B>azm, dip</B> and <B>lag:</B> for each of the <B>ndir</B> directions a
direction must be specified by <B>azm</B> and <B>dip</B> and a unit lag
offset must be specified (<B>lag</B>
<LI><B>nst</B> and <B>c0:</B> the number of structures and the nugget
effect.
<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.
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