| LKrigSAR | R Documentation |
Using the information in LKinfo create the SAR matrix for a given level of the multi-resolution.
LKrigSAR(object, ...)
## Default S3 method:
LKrigSAR(object, ...)
## S3 method for class 'LKInterval'
LKrigSAR(object, Level, ...)
## S3 method for class 'LKRectangle'
LKrigSAR(object, Level, ...)
## S3 method for class 'LKBox'
LKrigSAR(object, Level, ...)
## S3 method for class 'LKRing'
LKrigSAR(object, Level, ...)
## S3 method for class 'LKCylinder'
LKrigSAR(object, Level, ...)
## S3 method for class 'LKSphere'
LKrigSAR(object, Level, ...)
object |
An LKinfo object. |
Level |
The level of the multi-resolution. |
... |
Any additional arguments to pass to this method. |
The model for the Gaussian Markov Random field, c, at a given level is
B c = e,
where B is the SAR matrix computed by this method, and e are uncorrelated N(0,1). The precision matrix for this level is
Q= t(B)%*% B
and so the covariance matrix for c is the inverse of Q:
solve( Q)= solve(B)%*% t( solve(B))
A matrix in the sparse matrix format, spind, with dimensions given by the
number of lattice points at Level.
Because this construction is geometry dependent the default version of
this method just returns an error message.
Doug Nychka
LKrig.precision,spind2full
x<- cbind( c(0,1))
LKinfo<- LKrigSetup(x,LKGeometry="LKInterval",
nlevel=3, NC=3, a.wght=5, alpha=c(1,.5,.2) )
B<- LKrigSAR( LKinfo, Level=2)
B<-spind2full(B)
image.plot( B)
LKinfo<- LKrigSetup(cbind( c(0,360), c(0,1)) ,LKGeometry="LKRing",
nlevel=1, NC=3, a.wght=5, alpha=1)
B<- LKrigSAR( LKinfo, Level=1)
B<-spind2full(B)
image.plot( B)
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