PROC VARIOGRAM performs this grouping with two required options for variogram computation: the LAGDISTANCE= and MAXLAGS= options. The meaning of the required LAGDISTANCE= option is as follows.

John Haslett, On the Sample Variogram and the Sample Autocovariance for Non-Stationary Time Series, Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 46, No. 4 (1997), pp.

We then examine the effectiveness of cross-validating variogram in a spatial GLMM through a simulation study. Cross-validation is closely related to prediction since it uses partial data to predict ...

Instead, a visual fit of the variogram points to a few standard models is often satisfactory. Even when there are sufficient variogram points, a visual check against a fitted theoretical model is ...