In Julia. For further analysis, data normalization will be helpful to create a matrix in a unified scale. For example, the distance along the section (x-axis in Figure 5) can be normalized from 0 to 1, and the elevation (y-axis) can be normalized from 0 to 1. If necessary, you can interpolate to have a consistent number of data points. Please let me know if you have a question about how to perform this normalization. I think the idea of relating each pc mode to physical meanings (1st - cut and fill; 2nd - scouring) sounds great. At the same time, once you get the results, it would be great if that analysis can be supported by existing literature or something