Figure 3. Principal Component Analysis (IMAGE) Tokyo Institute of Technology 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. Credit <em>Scientific Reports</em> Usage Restrictions None License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.