The KRIGE2D Procedure |
The following statements are available in PROC KRIGE2D:
The PREDICT and MODEL statements are hierarchical; the PREDICT statement is followed by a MODEL statement. If more than one MODEL statement is given, only the last one is used for the analysis. The MODEL statement following a PREDICT statement uses the variable and neighborhood specifications in that PREDICT statement.
You must specify at least one PREDICT statement and one MODEL statement. You must supply a single COORDINATES statement to identify the and coordinate variables in the input data set. You must also specify a single GRID statement to include the grid information.
The following table outlines the options available in PROC KRIGE2D classified by function.
Task |
Statement |
Option |
---|---|---|
Data Set Options |
||
Specify input data set |
||
Specify grid data set |
||
Specify model data set |
||
Write kriging predictions and standard errors |
||
Write neighborhood information for each grid point |
||
Specify plot display and options |
||
Declaring the Role of Variables |
||
Specify variables to define analysis subgroups |
||
Specify the variables to be predicted (kriged) |
||
Specify the and coordinate variables in the DATA= data set |
||
Specify the and coordinate variables in the GDATA= data set |
||
Controlling Kriging Neighborhoods |
||
Specify the radius of a neighborhood for all grid points |
||
Specify the number of neighbors for all grid points |
||
Specify the maximum of neighbors for all grid points |
||
Specify the minimum of neighbors for all grid points |
||
Specify action when maximum not met |
||
Specify action when minimum not met |
||
Controlling the Semivariogram Model |
||
Specify a nugget effect |
||
Specify a type with a functional form |
||
Specify a range parameter |
||
Specify a scale parameter |
||
Specify an angle for an anisotropic model |
||
Specify a minor-major axis ratio for an anisotropic model |
Copyright © 2009 by SAS Institute Inc., Cary, NC, USA. All rights reserved.