predict.Aniso {convoSPAT}  R Documentation 
Obtain predictions at unobserved locations for the stationary spatial model.
Description
predict.Aniso
calculates the kriging predictor and corresponding
standard errors at unmonitored sites.
Usage
## S3 method for class 'Aniso'
predict(
object,
pred.coords,
pred.covariates = NULL,
pred.fixed.nugg2.var = NULL,
...
)
Arguments
object 
An "Aniso" object, from 
pred.coords 
Matrix of locations where predictions are required. 
pred.covariates 
Matrix of covariates for the prediction locations,
NOT including an intercept. The number of columns for this matrix must
match the design matrix from 
pred.fixed.nugg2.var 
An optional vector or matrix describing the
the variance/covariance a fixed second nugget term (corresponds to

... 
additional arguments affecting the predictions produced. 
Value
A list with the following components:
pred.means 
Vector of the kriging predictor, for each location in

pred.SDs 
Vector of the kriging standard errors, for each location
in 
Examples
## Not run:
pred.S < predict( Aniso.obj,
pred.coords = cbind(runif(300),runif(300)) )
## End(Not run)