Changes and Enhancements to SAS/STAT Software in V7 and V8

SIM2D Procedure

The SIM2D procedure produces a spatial simulation for a Gaussian random field with a specified mean and covariance structure in two dimensions using an LU decomposition technique. The simulation can be conditional or unconditional. If the simulation is conditional, a set of coordinates and associated field values are read from a SAS data set. The resulting simulation will honor these data values. The mean structure can be specified as a quadratic in the coordinates. The covariance is specified by naming the form and supplying the associated parameters. The locations of simulation points can be specified in a GRID statement or read from a SAS data set. The grid specification is most suitable for a regular grid; the data set specification can handle any irregular pattern of points. The SIM2D procedure writes the simulated values for each grid point to an output data set. The SIM2D procedure does not produce any displayed output.

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