simple.cov.time: Calculates temporal covariance based on distance matrix

In SpatialTools: Tools for Spatial Data Analysis

Calculates temporal covariance based on distance matrix

Description

Calculates a temporal covariance using a (Euclidean) distance matrix T. Not intended to be used directly by user (though it may be helpful to some). It is used in the covets function. No argument or error checking is provided for this function.

Usage

	simple.cov.time(T, t.type, t.par)

Arguments

T	A distance matrix.
t.type	A character vector specifying the temporal covariance type. Only "ar1" is currently implemented.
t.par	A vector of length 1 specifying the strength of dependence of the covariance function.

Value

Returns a covariance matrix.

Author(s)

Joshua French

See Also

~ cov.st

Examples

	T <- dist1(matrix(1:10))
	simple.cov.time(T = T, t.type = "ar1", t.par = .5)

SpatialTools documentation built on July 26, 2023, 5:16 p.m.