splineUncertain: Spline interpolation

Description Usage Arguments Value See Also


This function provides Spline interpolation over the input data enriched by the uncertainty. The input data must be an S4 object class of UncertainPoints and grid type of data.frame. Output object is type of S4 class UncertainInterpolation.


## S4 method for signature 'UncertainPoints,data.frame'
splineUncertain(object, grid, m = NULL, p = NULL, 
   scale.type = "range", lon.lat = FALSE, miles = TRUE, method = "GCV", GCV = TRUE)



Input data. An object of UncertainPoints class.


Input grid type of dataframe.


A polynomial function of degree (m-1) will be included in the model as the drift (or spatial trend) component. Default is the value such that 2m-d is greater than zero where d is the dimension of x.


Polynomial power for Wendland radial basis functions. Default is 2m-d where d is the dimension of x.


The independent variables and knots are scaled to the specified scale.type. By default the scale type is "range", whereby the locations are transformed to the interval (0,1) by forming (x-min(x))/range(x) for each x. Scale type of "user" allows specification of an x.center and x.scale by the user. The default for "user" is mean 0 and standard deviation 1. Scale type of "unscaled" does not scale the data.


If TRUE locations are interpreted as lognitude and latitude and great circle distance is used to find distances among locations.


If TRUE great circle distances are in miles if FALSE distances are in kilometers.


Determines what "smoothing" parameter should be used. The default is to estimate standard GCV Other choices are: GCV.model, GCV.one, RMSE, pure error and REML. The differences are explained in the Krig help file.


If TRUE the decompositions are done to efficiently evaluate the estimate, GCV function and likelihood at multiple values of lambda.


Returns an object of class UncertainInterpolation.

See Also

UncertainPoints-class, UncertainInterpolation-class, Grid.def,Grid.box, Grid.interpolation, Tps, Plot, uncertaintyInterpolation2-package

UncerIn2 documentation built on May 30, 2017, 8:06 a.m.

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