The SIM2D Procedure |
This example exhibits a more detailed investigation of the variation of simulated Thick values. You use the same thick data set from the section Getting Started: SIM2D Procedure, and you are interested in the simulated values statistics at two selected grid points.
Specifically, you perform a simulation asking for 5,000 realizations (iterations) at two points of the region defined in the section Preliminary Spatial Data Analysis. These are the extreme southwest point and a point toward the northeast corner of the region. Since you do not want to perform the simulation across the whole region, you need to produce a GDATA= data set to specify the coordinates of the selected points. These steps are implemented using the following DATA step and statements:
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 4.8 52.8 34.3 5.9 67.1 37.0 6.0 35.7 35.9 6.4 33.7 36.4 7.0 46.7 34.6 8.2 40.1 35.4 13.3 0.6 44.7 13.3 68.2 37.8 13.4 31.3 37.8 17.8 6.9 43.9 20.1 66.3 37.7 22.7 87.6 42.8 23.0 93.9 43.6 24.3 73.0 39.3 24.8 15.1 42.3 24.8 26.3 39.7 26.4 58.0 36.9 26.9 65.0 37.8 27.7 83.3 41.8 27.9 90.8 43.3 29.1 47.9 36.7 29.5 89.4 43.0 30.1 6.1 43.6 30.8 12.1 42.8 32.7 40.2 37.5 34.8 8.1 43.3 35.3 32.0 38.8 37.0 70.3 39.2 38.2 77.9 40.7 38.9 23.3 40.5 39.4 82.5 41.4 43.0 4.7 43.3 43.7 7.6 43.1 46.4 84.1 41.5 46.7 10.6 42.6 49.9 22.1 40.7 51.0 88.8 42.0 52.8 68.9 39.3 52.9 32.7 39.2 55.5 92.9 42.2 56.0 1.6 42.7 60.6 75.2 40.1 62.1 26.6 40.1 63.0 12.7 41.8 69.0 75.6 40.1 70.5 83.7 40.9 70.9 11.0 41.7 71.5 29.5 39.8 78.1 45.5 38.7 78.2 9.1 41.7 78.4 20.0 40.8 80.5 55.9 38.7 81.1 51.0 38.6 83.8 7.9 41.6 84.5 11.0 41.5 85.2 67.3 39.4 85.5 73.0 39.8 86.7 70.4 39.6 87.2 55.7 38.8 88.1 0.0 41.6 88.4 12.1 41.3 88.4 99.6 41.2 88.8 82.9 40.5 88.9 6.2 41.5 90.6 7.0 41.5 90.7 49.6 38.9 91.5 55.4 39.0 92.9 46.8 39.1 93.4 70.9 39.7 55.8 50.5 38.1 96.2 84.3 40.3 98.2 58.2 39.5 ;
data grid; input xc yc; datalines; 0 0 75 75 run;
Then, you run PROC SIM2D with the same parameters and characteristics as those in the section Preliminary Spatial Data Analysis. This time, however, you ask for simulated values only at the two locations you specified in the previous DATA step. The following statements execute the requested simulation:
proc sim2d data=thick outsim=sim1; coordinates xc=East yc=North; simulate var=Thick numreal=5000 seed=79931 scale=7.2881 range=30.6239 form=gauss; mean 40.1173; grid gdata=grid xc=xc yc=yc; run;
Once the simulation is performed, summary statistics are computed for each of the specified grid points. In particular, you use PROC UNIVARIATE and a BY statement to request at these locations the quantiles and the extreme observations, as the following statements show:
proc sort data=sim1; by gxc gyc; run; proc univariate data=sim1; var svalue; by gxc gyc; ods select Quantiles ExtremeObs; title 'Simulation Statistics at Selected Grid Points'; run;
The summary statistics for the first grid point (East=0, North=0) are presented in Output 79.2.1.
Quantiles (Definition 5) | |
---|---|
Quantile | Estimate |
100% Max | 42.1810 |
99% | 41.6986 |
95% | 41.3633 |
90% | 41.1890 |
75% Q3 | 40.9044 |
50% Median | 40.5713 |
25% Q1 | 40.2191 |
10% | 39.9463 |
5% | 39.7552 |
1% | 39.4201 |
0% Min | 38.7473 |
Finally, Output 79.2.2 displays the summary statistics for the second grid point (East=75, North=75).
Quantiles (Definition 5) | |
---|---|
Quantile | Estimate |
100% Max | 40.1168 |
99% | 40.1148 |
95% | 40.1134 |
90% | 40.1126 |
75% Q3 | 40.1114 |
50% Median | 40.1101 |
25% Q1 | 40.1086 |
10% | 40.1075 |
5% | 40.1068 |
1% | 40.1053 |
0% Min | 40.1024 |
Extreme Observations | |||
---|---|---|---|
Lowest | Highest | ||
Value | Obs | Value | Obs |
40.1024 | 7176 | 40.1164 | 8980 |
40.1029 | 6262 | 40.1165 | 9272 |
40.1032 | 7383 | 40.1167 | 5676 |
40.1037 | 7156 | 40.1167 | 6514 |
40.1037 | 5643 | 40.1168 | 5329 |
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