RBF.phi {geospt}

radial basis function evaluation

Description

generate the value associated with radial basis functions; gaussian GAU), exponential (EXPON), trigonometric (TRI), thin plate spline (TPS), completely regularized spline (CRS), spline with tension (ST), inverse multiquadratic (IM), and multiquadratic (M)

Usage

RBF.phi(distance, eta, func)

Arguments

distance

corresponds to the Euclidean distance between two points in space

eta

the optimal smoothing parameter is found by minimizing the root-mean-square prediction errors using cross-validation

func

radial basis function model type, e.g. "GAU", "EXPON", "TRI", "TPS", "CRS", "ST", "IM" and "M", are currently available

Value

value obtained from the radial basis function generated with a distance, a eta smoothing parameter, and a function "GAU", "EXPON", "TRI", "TPS", "CRS", "ST", "IM" or "M"

Examples

data(preci) 
d1 <- dist(rbind(preci[1,],preci[2,])) 
RBF.phi(distance=d1, eta=0.5, func="TPS")