| predict.BGCCM {geoR} | R Documentation |
Performs prediction for the bivariate Gaussian common component geostatistical model
## S3 method for class 'BGCCM':
predict(object, locations, borders,
variable.to.predict = 1, ...)
object |
on object of the class BGCCMfit, which is
an output of likfitBGCCM. |
locations |
an N x 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. |
borders |
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. |
variable.to.predict |
scalar with options for values or 2 indicating which variable is to be predicted. |
... |
not yet used. |
A list of the class BGCCMpred with components:
predicted |
predicted values. |
krige.var |
prediction variances. |
This is a new function and still in draft format and pretty much untested.
~~who you are~~
# see http://www.leg.ufpr.br/geoR/tutorials/CCM.R