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, ...)
x | variogram model ( |
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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 |
The covariance matrix of the data.