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Calculates the experimental variogram. 

It works on top every other function present in GSKvariograms.

Takes the following arguments:
dadosS: Pointset Data
, {CutD: cutDistance
, DirPhi: phi angle with xx
, DirTheta: theta angle with zz
, TolPhi: angular tolerance for phi
, TolTheta: angular tolerance for Theta
, BandW: Bandiwth distance
, NClass: number of lags
, dim: dimension}, 
VariogramType -> 1: Variogram Type ]

VariogramType (Option)

Option setting the variogram estimator to be used for gskExpVario. Possibilities are: 
"Standard" or 1
"Cross" or 2,
"WeigthedPK" or 3
"MultiPhase" or 4




Executes the spatial triming of the data. 
As it was designed to acomodate multiple types of semi-variograms (including Cross-Variograms) it requires two datasets.
If only one dataset is to be used, it must be repeated twice.
If you are not interested composing your own spatial template but only on calculating experimental semi-variograms, 
use gskVarioExp instead.

Takes the following arguments:
data1: 1st Pointset Data,
data2: 2st Pointset Data,
Spatial Template List (see below), 
listType: full (default=-1) or trimmed list (=0) ]

Note: listType exists for compatibility reasons with older GSK functions. Except otherwise noted, it should be set to -1.

Spatial Template List:
{CutD: maximum cut distance, (reference vector modulus)
minD: minimum cut distance
DirPhi: phi angle with xx,  (reference vector spherical plane angle - ref is xx axis versor)
DirTheta: theta angle with zz, (reference vector spherical angle with vertical angle - ref is zz axis versor)
TolPhi: Solid Angle Tolerance from direction vector,
BandW: Bandiwth distance,
     dirflag: (True/False) if set to true, the negative direction of the reference vector is taken into account
dim: dimension (accepts values 2 and 3 for 2D and 3D data)