Conclusions

Discriminant analysis identified terrain slope, deep (0 to 90 cm) EC measurements, and distance to drainageway as the most useful secondary variables for predicting soil drainage classes. The combination of discriminant analysis and geostatistics seems to be the most advantageous approach to drainage class mapping. In this approach, the data are first analyzed with discriminant analysis, and a limited number of variables with significant effect on the drainage classes are selected among all the available topographical and soil variables. Then, the significant variables are used in the cokrig-ing for the most accurate mapping of soil drainage classes.

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