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THE FLORIDA STATE UNIVERSITY ARTS AND SCIENCES ...

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Eigenvalue<br />

1.5<br />

1.4<br />

1.3<br />

1.2<br />

1.1<br />

1.0<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

1<br />

2<br />

Scree Plot<br />

3<br />

Component Number<br />

Figure 4.1 Scree plot for PCA<br />

Table 4.1 PCA Results<br />

Eigenvalue 1.49 1.20 0.88 0.74 0.69<br />

Proportion 0.30 0.24 0.18 0.15 0.14<br />

Cumulative 0.30 0.54 0.71 0.86 1.00<br />

Variable PC1 PC2 PC3 PC4 PC5<br />

Temp 0.57 0.14 -0.14 -0.79 -0.08<br />

WFP 0.44 0.40 -0.57 0.46 0.34<br />

OC -0.29 0.69 -0.13 0.00 -0.66<br />

pH 0.53 -0.39 0.05 0.37 -0.65<br />

-<br />

NO3 0.34 0.44 0.80 0.17 0.16<br />

The PCA (Figure 4.1 and Table 4.1) results indicate that almost 90 percent of the<br />

variation can be explained by four factors. The PCA results also indicate that several<br />

factors may have an equally controlling effect on the results. While it is difficult to say<br />

with certainty which one of the five is the most significant factor, the PCA certainly<br />

supports the necessity of a multivariate analysis.<br />

118<br />

4<br />

5

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