crm2vgm: Converting a spatial correlogram model to a variogram model
In spup: Spatial Uncertainty Propagation Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Description
Used internally in genSample() in case of sampling by unconditional gaussian
simulation.
Usage
1
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 1, 2020, 1:07 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Used internally in genSample() in case of sampling by unconditional gaussian simulation.
Usage
1 | 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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