varcov: Covariance matrix

In npsp: Nonparametric Spatial Statistics

Covariance matrix

Description

Computes the covariance matrix a corresponding to a set of spatial locations given a variogram model or a semivariogram estimate.

Usage

varcov(x, coords, ...)

## S3 method for class 'isotropic'
varcov(
  x,
  coords,
  sill = x$sill,
  range.taper,
  discretize = nrow(coords) > 256,
  ...
)

## S3 method for class 'np.svar'
varcov(x, coords, sill = max(x$est), range.taper = x$grid$max, ...)

Arguments

x	variogram model (svarmod object) or semivariogram estimate.
coords	matrix of coordinates (columns correspond with dimensions and rows with data).
...	further arguments passed to or from other methods.
sill	(theoretical or estimated) variance C(0) = \sigma^2 or pseudo-sill (unbounded variograms).
range.taper	(optional) if provided, covariances corresponding to distances larger than this value are set to 0.
discretize	logical. If TRUE (default), the variogram is (previously) discretized.

Value

The covariance matrix of the data.

See Also

sv, covar.

npsp documentation built on May 29, 2024, 5:31 a.m.