This method function calculates the semi-variogram for an arbitrary
object, according to the distances in
For each pair of elements x,y in
corresponding semi-variogram is (x-y)^2/2. The semi-variogram is
useful for identifying and modeling spatial correlation structures in
observations with constant expectation and constant variance.
a numeric vector with the values to be used for calculating the semi-variogram, usually a residual vector from a fitted model.
a numeric vector with the pairwise distances
corresponding to the elements of
some methods for this generic require additional arguments. None are used in this method.
a data frame with columns
respectively, the semi-variogram values and the corresponding
distances. The returned value inherits from class
José Pinheiro and Douglas Bates [email protected]
Cressie, N.A.C. (1993), "Statistics for Spatial Data", J. Wiley & Sons.
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