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

varcov(x, coords, ...)

# S3 method for isotropic
varcov(
x,
coords,
sill = x$sill, range.taper, discretize = nrow(coords) > 256, ... ) # S3 method for np.svar varcov(x, coords, sill = max(x$est), range.taper = x$grid$max, ...)

## Arguments

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

## Value

The covariance matrix of the data.

sv, covar.