R: Derive Experimental variogram of Raw variable from Gaussian...

vario.y2z {RGeostats}

R Documentation

Derive Experimental variogram of Raw variable from Gaussian Model

Derive Experimental variogram of Raw variable from Gaussian Model

vario.y2z(model, anam, dirvect = NA, lag = NA, nlag = NA, vario.add = NA)

`model`	The `model-class` structure used to describe the Model of the Gaussian variable. For more information check `check.model`.
`anam`	The `anam-class` structure containing the characteristics of the punctual (Hermitian) Anamorphosis
`dirvect`	The directions in which the variogram must be calculated. For more information, refer to `get.directions`
`lag`	Array containing the distance lags for each calculation direction. If no corresponding lag is not defined, a default lag is calculated so that the maximum distance is equal to half of the field diagonal. For one distance, if the lag is not defined, it is set to the default lag.
`nlag`	Array containing the number of lags for each calculation direction. If not defined, the defaulted number of lags is set to 10. For one direction, if the number of lags is not defined, it is set to 10.
`vario.add`	When defined, the current variogram computation is concatenated to the contents of the current variogram.

An experimental vario-class structure containing the experimental variogram of the raw variable.

[Package RGeostats version 14.0.10 Index]