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The VARIOGRAM Procedure

Syntax: VARIOGRAM Procedure

The following statements are available in PROC VARIOGRAM:

PROC VARIOGRAM options ;
BY variables ;
COMPUTE computation-options ;
COORDINATES coordinate-variables ;
DIRECTIONS directions-list ;
ID variable ;
MODEL model-options ;
PARMS parameters-list < / parameters-options> ;
NLOPTIONS <options> ;
STORE store-options ;
VAR analysis-variables-list ;

The COMPUTE and COORDINATES statements are required. The MODEL and PARMS statements are hierarchical. If you specify a PARMS statement, it must follow a MODEL statement.

Table 96.1 outlines the options available in PROC VARIOGRAM classified by function.

Table 96.1 Options Available in the VARIOGRAM Procedure

Task

Statement

Option

Data Set Options

   

Specify input data set

PROC VARIOGRAM

DATA=

Suppress normal display of results

PROC VARIOGRAM

NOPRINT

Write autocorrelation weights information

PROC VARIOGRAM

OUTACWEIGHTS=

Write distance histogram information

PROC VARIOGRAM

OUTDISTANCE=

Write Moran scatter plot information

PROC VARIOGRAM

OUTMORAN=

Write pairwise point information

PROC VARIOGRAM

OUTPAIR=

Write spatial continuity measures

PROC VARIOGRAM

OUTVAR=

Specify the plot display and options

PROC VARIOGRAM

PLOTS

Specify a model data set with MODEL statement

MODEL

MDATA=

Specify a model data set with PARMS statement

PARMS

PDATA=

Declaring the Role of Variables

   

Specify variables to define analysis subgroups

BY

 

Specify variable with observation labels

ID

 

Specify the analysis variables

VAR

 

Specify the x, y coordinates in the DATA= data set

COORDINATES

XCOORD= YCOORD=

Controlling Continuity Measure Computations

   

Specify the confidence level

COMPUTE

ALPHA=

Specify the angle tolerances for angle classes

COMPUTE

ANGLETOLERANCE=

Compute autocorrelation statistics

COMPUTE

AUTOCORRELATION

Specify the bandwidths for angle classes

COMPUTE

BANDWIDTH=

Compute the semivariance estimate variance

COMPUTE

CL

Specify the minimum distance that indicates any two distinct points are not collocated

COMPUTE

DEPSILON=

Specify the basic lag distance

COMPUTE

LAGDISTANCE=

Specify the tolerance around the lag distance

COMPUTE

LAGTOLERANCE=

Specify the maximum number of lags in computations

COMPUTE

MAXLAGS=

Specify the number of angle classes

COMPUTE

NDIRECTIONS=

Suppress computation of all continuity measures

COMPUTE

NOVARIOGRAM

Compute robust semivariance

COMPUTE

ROBUST

Controlling Distance Histogram Data Set

   

Specify the distance histogram data set

PROC VARIOGRAM

OUTDISTANCE=

Specify the number of histogram classes

COMPUTE

NHCLASSES=

Controlling Pairwise Information Data Set

   

Specify the pairwise data set

PROC VARIOGRAM

OUTPAIR=

Specify the maximum distance for the pairwise data set

COMPUTE

OUTPDISTANCE=

Controlling Semivariogram Model Fitting

   

Specify the item store to save correlation information

STORE

OUT=

Specify the confidence level for fitting parameters

MODEL

ALPHA=

Specify fitted model ranking criteria

MODEL

CHOOSE=

Compute parameters estimate limits

MODEL

CL

Specify a threshold to compare model fit quality

MODEL

RANKEPS=

Specify a tolerance to use in model classification

MODEL

EQUIVTOL=

Specify the type of semivariogram to fit

MODEL

FIT=

Specify a type with a functional form

MODEL

FORM=

Specify the model fitting method

MODEL

METHOD=

Specify a minimal nugget effect if experimental semivariance is zero at first lag

MODEL

NEPSILON=

Suppress model fitting

MODEL

NOFIT

Specify the nugget effect for fitted model

MODEL

NUGGET=

Specify a range estimate for fitted model

MODEL

RANGE=

Specify a range of lags to fit a model in

MODEL

RANGELAG=

Specify a scale estimate for fitted model

MODEL

SCALE=

Specify a Matérn smoothness estimate

MODEL

SMOOTH=

Specify constant parameters in fitting

PARMS

HOLD=

Specify fitting parameter lower bounds

PARMS

LOWERB=

Specify the upper limit for fitted scale

PARMS

MAXSCALE=

Specify no bounds for fitted parameters

PARMS

NOBOUND

Specify the fitting parameter upper bounds

PARMS

UPPERB=

Specify optimization process options

NLOPTIONS

 

Fitting Output Tables Control Options

   

Request the approximate covariance matrix

MODEL

COVB

Request the approximate correlation matrix

MODEL

CORRB

Request fit details for every candidate model

MODEL

DETAILS

Request the gradient of the objective function in parameter estimates table

MODEL

GRADIENT

Threshold to switch a Matérn form to Gaussian

MODEL

MTOGTOL=

Suppress the iteration history table

MODEL

NOITPRINT

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