SAS/STAT Software

SIM2D Procedure

The SIM2D procedure produces a spatial simulation for a Gaussian random field with a specified mean and covariance structure in two dimensions by using an LU decomposition technique. The simulation can be conditional or unconditional. The following are highlights of the SIM2D procedure's features:

  • enables you to specify the mean structure as a quadratic function in the coordinates
  • enables you to specify the covariance by naming the form and supplying the associated parameters, or by using the contents of an item store file that was previously created by PROC VARIOGRAM
  • enables you to specify the locations of simulation points in a GRID statement, or they can be read from a SAS data set
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • writes the simulated values for each grid point to an output data set
  • creates a SAS data set that corresponds to any output table
  • automatically creates graphs by using ODS Graphics

For further details see the SIM2D Procedure