predict.BGCCM {geoR} | R Documentation

## Prediction for the bivariate Gaussian common component geostatistical model

### Description

Performs prediction for the bivariate Gaussian common component geostatistical model

### Usage

    ## S3 method for class '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 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.

### 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.

### Author(s)

~~who you are~~

### See Also

`likfitBGCCM`

### Examples

    # see http://www.leg.ufpr.br/geoR/tutorials/CCM.R

[Package geoR version 1.6-19 Index]