predict.BGCCM

0th

Percentile

Prediction for the bivariate Gaussian common component geostatistical model

Performs prediction for the bivariate Gaussian common component geostatistical model

Keywords
spatial
Usage
# S3 method for BGCCM
predict(object, locations, borders,
              variable.to.predict = 1, ...)
Arguments
object

on object of the class BGCCMfit, which is an output of likfitBGCCM.

locations

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.

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.

Value

A list of the class BGCCMpred with components:

predicted

predicted values.

krige.var

prediction variances.

Warning

This is a new function and still in draft format and pretty much untested.

See Also

likfitBGCCM

Aliases
  • predict.BGCCM
Examples
# NOT RUN {
# see http://www.leg.ufpr.br/geoR/tutorials/CCM.R
# }
Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)

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