crm2vgm: Converting a spatial correlogram model to a variogram model
In spup: Spatial Uncertainty Propagation Analysis
crm2vgm R Documentation
Converting a spatial correlogram model to a variogram model
Description
Used internally in genSample() in case of sampling by unconditional gaussian
simulation.
Usage
crm2vgm(crm)
Arguments
crm
object of a class "SpatialCorrelogramModel", output of makeCRM().
Details
To assure equalfinality the sill parameter for spatially correlated random
residuals is fixed and standardized to 1.
Value
An object of a class "variogramModel" extending data.frame.
Author(s)
Kasia Sawicka, Gerard Heuvelink
spup documentation built on May 29, 2024, 5:10 a.m.
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| crm2vgm | R Documentation |
Converting a spatial correlogram model to a variogram model
Description
Used internally in genSample() in case of sampling by unconditional gaussian simulation.
Usage
crm2vgm(crm)
Arguments
crm |
object of a class "SpatialCorrelogramModel", output of makeCRM(). |
Details
To assure equalfinality the sill parameter for spatially correlated random residuals is fixed and standardized to 1.
Value
An object of a class "variogramModel" extending data.frame.
Author(s)
Kasia Sawicka, Gerard Heuvelink
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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