methodParameters {intamap} | R Documentation |
function that generates a parsable string of identified method parameters for an intamap interpolation object
## Default S3 method: methodParameters(object) ## S3 method for class 'copula': methodParameters(object) ## S3 method for class 'idw': methodParameters(object)
object |
a list object. Most arguments necessary for interpolation
are passed through this object. See intamap-package for further
description of the necessary content of this variable |
The function creates a text-string that makes it possible to add the
the method parameters (anisotropy and idw-parameter, variogram model or
copula parameters) to the object
in a later call to
createIntamapObject
or interpolate
without having to re-estimate the parameters.
This function is particularly useful when interpolate
is
called from a Web Processing Service, and the user wants to reuse the
method parameters. The function is mainly assumed to be called from
within interpolate
.
The default method assumes a variogram model of gstat type, e.g. a variogram
similar to what can be created with a call to vgm
.
Also psgp uses this variogram model.
A string that, when parsed, will recreate the methodParameters
Jon Olav Skoien
library(intamap) data(meuse) coordinates(meuse) = ~x+y meuse$value = log(meuse$zinc) # set up intamap object: krigingObject = createIntamapObject( observations = meuse, formulaString = as.formula('value~1'),class = "automap") # do estimation steps: krigingObject = estimateParameters(krigingObject) krigingObject = methodParameters(krigingObject) # Create a new object krigingObject2 = createIntamapObject(observations = meuse, formulaString = as.formula('value~1'), params = list(methodParameters = krigingObject$methodParameters)) krigingObject$variogramModel krigingObject2$variogramModel