SpatialTools (version 0.4.1)

pweights.uk: Calculates Universal Kriging weights

Description

Finds Universal Kriging weights using X, the $n \times k$ design matrix for the regression coefficients of the observed data, V, the (positive definite) covariance matrix of the observed responses, Xp, the $np \times k$ design matrix of the responses to be predicted, Vp, the $np \times np$ covariance matrix of the responses to be predicted, and Vop, the $n x np$ matrix of covariances between the observed responses and the responses to be predicted. Uses Armadillo C++ template via RcppArmadillo to perform most of the operations.

Usage

pweights.uk(X, V, Xp, Vp, Vop)

Arguments

X

The design matrix of the observed data. The size is $n \times k$

V

The covariance matrix of the observed responses. The size is $n times n$.

Xp

The design matrix of the responses to be predicted. The size is $np \times k$

Vp

The covariance matrix of the responses to be predicted. The size is $np \times np$

Vop

The cross-covariance between the observed responses and the responses to be predicted. The size is $n \times np$

Value

• The function returns a list containing w, the $np \times n$ matrix containing the kriging weights used to calculate the predicted values.

See Also

krige.uk

Examples

data(toydata)
	X <- toydata$X
	V <- toydata$V
	Xp <- toydata$Xp
	Vp <- toydata$Vp
	Vop <- toydata$Vop
	pweights.uk(X, V, Xp, Vp, Vop)