methodParameters: generate string for generation of method parameters
| methodParameters | R Documentation |
generate string for generation of method parameters
Description
function that generates a parsable string of identified method parameters for an intamap interpolation object
Usage
## Default S3 method:
methodParameters(object)
## S3 method for class 'copula'
methodParameters(object)
## S3 method for class 'idw'
methodParameters(object)
Arguments
object |
a list object. Most arguments necessary for interpolation
are passed through this object. See |
Details
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.
Value
A string that, when parsed, will recreate the methodParameters
Author(s)
Jon Olav Skoien
References
Pebesma, E., Cornford, D., Dubois, G., Heuvelink, G.B.M., Hristopulos, D., Pilz, J., Stohlker, U., Morin, G., Skoien, J.O. INTAMAP: The design and implementation f an interoperable automated interpolation Web Service. Computers and Geosciences 37 (3), 2011.
Examples
sessionInfo()
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
