KS_scores: Fuctional kriging using simple kriging

In catalinavillamil/SpatFD: Functional Kriging, Functional Cokriging and Optimal Spatial Sampling of Functional Data

Description

Fuctional kriging using simple kriging

Usage

     KS_scores(SFD, newcoords,model,vari=NULL,fill.all=NULL)

Arguments

SFD	Is an object of class SpatFD.
newcoords	A data fame with two columns indicating X and Y coordinates.
model	An object of class variogramModel or a list of objects of class variogramModel(see vgm from gstat package).
vari	A numeric value to specifying the position of the variable or a character value specifying the name of the variable. NULL by default.
fill.all	A boolean value to fit the same model to all scores. TRUE by default. If TRUE, model must be class variogramModel. If FALSE, model must be a list of objects of class variogramModel.

Value

An object of class scores_pred, which inherits from list. Its components are:

X	the object of class scores_pred where are specified the functional predictions.

Author(s)

Angie Villamil, Martha Bohorquez

See Also

SpatFD

Examples

     ##---- Should be DIRECTLY executable !! ----
     ##-- ==>  Define data, use random,
     ##--	or do  help(data=index)  for the standard data sets.

     ## The function is currently defined as

catalinavillamil/SpatFD documentation built on May 2, 2021, 4:21 a.m.