Kov: Spatial covariance matrix.

In KRIG: Spatial Statistic with Kriging

Description

To compute a kriging, it is necessary the spatial covariance matrix. The spatial covariance could computed between to sets of points X and Y with different dimension and the result it is not necessarily a square matrix.

Usage

Kov(X, Y, Kern, symmetric = FALSE)

Arguments

X	First set of spatial points.
Y	Second set of spatial points.
Kern	Kernel function.
symmetric	If result of computation will be a square matrix, the time computation can be improved setting this parameter to TRUE, the default is FALSE.

Value

The spatial covariance matrix.

Author(s)

Pedro Guarderas [e-mail].

See Also

For a complete application you can check the documentation of Krig.

KRIG documentation built on May 2, 2019, 5:55 a.m.