The KRIGE2D Procedure

Syntax: KRIGE2D Procedure

The following statements are available in PROC KRIGE2D:

PROC KRIGE2D options ;: BY variables ;; COORDINATES | COORD coordinate-variables ;; GRID grid-options ;; ID variable ;; PREDICT | PRED | P predict-options ;; MODEL model-options ;; RESTORE restore-options ;

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 $\text{[math]}$ and $\text{[math]}$ coordinate variables in the input data set. You must also specify a single GRID statement to include the grid information.

Table 46.1 outlines the options available in PROC KRIGE2D classified by function.

Table 46.1 Options Available in the KRIGE2D Procedure
Task	Statement	Option
Data Set Options
Specify input data set	PROC KRIGE2D	DATA=
Specify grid data set	GRID	GDATA=
Specify labels for individual grid points or in 1-D	GRID	LABEL
Specify model data set	MODEL	MDATA=
Write kriging predictions and standard errors	PROC KRIGE2D	OUTEST=
Write neighborhood information for each grid point	PROC KRIGE2D	OUTNBHD=
Specify plot display and options	PROC KRIGE2D	PLOTS
Declaring the Role of Variables
Specify variables to define analysis subgroups	BY
Specify variable with observation labels	ID
Specify the variables to be predicted (kriged)	PREDICT	VAR=
Specify the $\text{[math]}$ and $\text{[math]}$ coordinate variables in the DATA= data set	COORDINATES	XC= YC=
Specify the $\text{[math]}$ and $\text{[math]}$ coordinate variables in the GDATA= data set	GRID	XC= YC=
Controlling the Prediction
Specify the number of grid points in one-dimensional cases	GRID	NPTS=
Controlling Kriging Neighborhoods
Specify the radius of a neighborhood for all grid points	PREDICT	RADIUS=
Specify the number of neighbors for all grid points	PREDICT	NUMPOINTS=
Specify the maximum of neighbors for all grid points	PREDICT	MAXPOINTS=
Specify the minimum of neighbors for all grid points	PREDICT	MINPOINTS=
Specify the action when maximum not met	PREDICT	NODECREMENT
Specify the action when minimum not met	PREDICT	NOINCREMENT
Controlling the Semivariogram Model
Specify an angle for an anisotropic model	MODEL	ANGLE=
Specify a type with a functional form	MODEL	FORM=
Specify an item store with correlation information	RESTORE	IN=
Specify a nugget effect	MODEL	NUGGET=
Allow power exponent values outside [0,2)	MODEL	POWNOBOUND
Specify a range parameter	MODEL	RANGE=
Specify a minor-major axis ratio for an anisotropic model	MODEL	RATIO=
Specify a scale parameter	MODEL	SCALE=
Specify model and parameters from an item store	MODEL	STORESELECT

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