The KRIGE2D Procedure

Syntax: KRIGE2D Procedure

The following statements are available in the KRIGE2D procedure:

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 x and y coordinate variables in the input data set. You must also specify a single GRID statement to include the grid information.

Table 1 outlines the options available in PROC KRIGE2D classified by function.

Table 1: Options Available in the KRIGE2D Procedure

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


Last updated: December 09, 2022