RBF.phi: radial basis function evaluation

In geospt: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

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 sigma 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")

geospt documentation built on May 2, 2019, 4:51 p.m.