Research Article

Quantitative Analysis of a Weak Correlation between Complicated Data on the Basis of Principal Component Analysis

Figure 7

The results of climate, altitude, and chemical compositions with comparison of other locations, using GCQ as an example. (a), (b), (c) The comparative results of climate, altitude, and chemical compositions in GCQ and 34 other locations. In the plot, the value in the most central and extreme edge of the circle is 1 and 0, respectively. The closer it is to the center of the circle, the more similar it is to the characteristics of the samples in GCQ. If GCQ is closer to the center of the circle, it means that GCQ has high autocorrelation.
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