Recast a spatial data object model to format gmSpatialModel
as.gmSpatialModel(object, ...)# S3 method for default
as.gmSpatialModel(object, ...)
# S3 method for gstat
as.gmSpatialModel(object, V = NULL, ...)
The same spatial object re-structured as a "gmSpatialModel", see gmSpatialModel
object to recast
extra parameters for generic functionality
optional, if the original data in the sptail object was compositional, which logcontrasts were used to express it? Thsi can be either one string of "alr", "ilr" or "clr", or else a (Dx(D-1))-element matrix of logcontrasts to pass from compositions to logratios
default
: Recast spatial object to gmSpatialModel format
gstat
: Recast spatial object to gmSpatialModel format
Other gmSpatialModel:
Predict()
,
gmSpatialModel-class
,
make.gmCompositionalGaussianSpatialModel()
,
make.gmCompositionalMPSSpatialModel()
,
make.gmMultivariateGaussianSpatialModel()