Performs prediction for the bivariate Gaussian common component geostatistical model
# S3 method for BGCCM
predict(object, locations, borders,
variable.to.predict = 1, ...)A list of the class BGCCMpred with components:
predicted values.
prediction variances.
on object of the class BGCCMfit, which is
an output of likfitBGCCM.
an \(N \times 2\) matrix or data-frame with
the 2-D coordinates of the \(N\) prediction locations,
or a list for which
the first two components are used. Input is internally checked by the
function check.locations.
optional. If missing, by default reads the element
borders of the geodata object of the variable to be
predicted. Ignored if set to NULL.
If a two column matrix defining a polygon is
provided the prediction is performed only at locations inside this polygon.
scalar with options for values or 2 indicating which variable is to be predicted.
not yet used.
Paulo Justiniano Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.
This is a new function and still in draft format and pretty much untested.
likfitBGCCM
# see http://www.leg.ufpr.br/geoR/tutorials/CCM.R
Run the code above in your browser using DataLab