SAS/STAT Software


The VARIOGRAM procedure computes variogram diagnostics to describe the spatial covariance structure in spatial point referenced data. The following are highlights of the VARIOGRAM procedure's features:

  • handles anisotropic and nested semivariogram models
  • the following eight semivariogram models are supported:
    • Gaussian
    • exponential
    • spherical
    • power
    • cubic
    • pentaspherical
    • sine hole effect
    • Matern
  • supports a single nugget effect
  • fits permissible theoretical models to the empirical semivariograms, so that you can use them in subsequent analysis to perform spatial prediction
  • produces plots of the empirical semivariograms and the fitted models
  • provides isotropic and anisotropic measures
  • provides the Moran I and Geary c spatial autocorrelation statistics
  • enables you to save the context and results of the semivariogram model fitting analysis in an item store
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates a SAS data set that corresponds to any output table
  • automatically creates graphs by using ODS Graphics
  • For further details see the VARIOGRAM Procedure