Statistical Graphics Using ODS |
Contour Plots with PROC KRIGE2D |
This example is taken from Example 46.2 of Chapter 46, The KRIGE2D Procedure. The following statements create a SAS data set that contains measurements of coal seam thickness:
data thick; input East North Thick @@; label Thick='Coal Seam Thickness'; datalines; 0.7 59.6 34.1 2.1 82.7 42.2 4.7 75.1 39.5 ... more lines ... ;
The following statements set the output style to DEFAULT and run PROC KRIGE2D:
ods listing style=default; ods graphics on; proc krige2d data=thick outest=predictions plots=(observ(showmissing) pred(fill=pred line=pred obs=linegrad) pred(fill=se line=se obs=linegrad)); coordinates xc=East yc=North; predict var=Thick r=60; model scale=7.2881 range=30.6239 form=gauss; grid x=0 to 100 by 2.5 y=0 to 100 by 2.5; run;
The PLOTS=OBSERV(SHOWMISSING) option produces a scatter plot of the data along with the locations of any missing data. The PLOTS=PRED option produces maps of the kriging predictions and standard errors. Two instances of the PLOTS=PRED option are specified with suboptions that customize the plots. The results are shown in Figure 21.7.
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