Figure 3. Principal Component Analysis (IMAGE)

_Tokyo Institute of Technology

Figure 3. Principal Component Analysis

Caption

(a) Loading of PC1, with the inset showing a scree plot indicating that PC1 accounts for most of the variance in the data. (b) Loading of PC2 and PC3, which presumably correspond to seasonal variations, as shown by comparing it to precipitation and temperature. (c) Comparison of the mean displacement of the LUC obtained with a hydro-thermal method and the PCA method, along with the predicted displacement in the next 365 days.

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<em>Scientific Reports</em>

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