Dakota Home Introduction Subsurface Hydrology Geologic Framework Petrophysics Water Quality
Dakota Aquifer Program--Geologic Framework

Hodgeman County Study, part 9 of 12


Discriminant analysis

According to the testing performed by the SAS (1990) program used in the processing, the within group covariance matrices in Table 3 are sufficiently different to make the quadratic discriminant analysis the model of choice.

Table 3. Within-group covariance matrices for cumulative sandstone thickness.

 GroupUJLJKCh
23UJ1532.1   
 LJ344.6615.9  
 K-224.3186.3692.7 
 Ch606.2146.559.62312.4
26UJ317.1   
 LJ53.2490.8  
 K127.3140.5965.0 
 Ch-204.6-17.9-444.31543.1
36UJ436.8   
 LJ317.61336.4  
 K-73.1214.0330.7 
 Ch-91.2-176.321.3511.1
65UJ254.9   
 LJ57.3329.8  
 K-30.242.496.7 
 Ch44.1115.479.6765.4
81UJ148.5   
 LJ29.6155.8  
 K5.745.5138.8 
 Ch-39.729.897.1616.5

Table 4 shows a 97% agreement between Ward's method clusters and the groups based on the posterior probabilities of membership. The group sizes are in the bottom line. Although they are slightly different than the corresponding cluster sizes, we will keep the cluster labels to avoid cluttering the exposition.

Table 4. Resubstitution summary
 Group
Cluster2326366581
23230000
26025010
36003312
65000650
81020178
Total2327336880

Considering that in this case the relative cluster sizes in the sampling are a good approximation to the true relative sizes, one should use the relative proportions in Table 2 as estimates for the a priori group probabilities.

Previous Page--Well clustering || Next Page--Mapping of probabilities
Dakota Home || Start of Hodgeman County Study


Kansas Geological Survey, Dakota Aquifer Program
Updated Sept. 16, 1996.
Scientific comments to P. Allen Macfarlane
Web comments to webadmin@kgs.ku.edu
The URL for this page is HTTP://www.kgs.ku.edu/Dakota/vol1/geo/hodge9.htm