Abstract
In a study of the geologic and topographic factors influencing well productivity in the crystalline southern Piedmont region of Georgia, Garcia et al. (1990) found that three variables explained 65 percent of the variation in well productivity. However, many of the nine variables examined could not be included in modeling because of high intercorrelation detracting from the interpretive if not the predictive value of the result. To overcome this problem, data from Garcia et al. (1990) were subjected to a principal components analysis. This technique was used to transform the set of nine highly correlated variables into three uncorrelated components. Although regression analysis using the three components explained only 55 percent of the variability in well productivity, 10 percent less than achieved by Garcia et al. (1990), the result provided a more comprehensive interpretation of the many environmental factors that actually lead to high and low well yields.
Recommended Citation
Garcia, Joseph E. and Brook, George A.
(1990)
"Factors Controlling Ground Water Flow to Wells in Crystalline Rocks Based on a Principal Components Analysis, Southeastern Piedmont of Georgia,"
The Geographical Bulletin: Vol. 32:
Iss.
2, Article 6.
Available at:
https://digitalcommons.kennesaw.edu/thegeographicalbulletin/vol32/iss2/6
