Snow Profile Alignment, Aggregation, and Clustering

Snow profiles describe the vertical (1D) stratigraphy of layered snow with different layer characteristics, such as grain type, hardness, deposition date, and many more. Hence, they represent a data format similar to multivariate time series containing categorical, ordinal, and numerical data types. Use this package to align snow profiles by matching their individual layers based on Dynamic Time Warping (DTW). The aligned profiles can then be assessed with an independent, global similarity measure that is geared towards avalanche hazard assessment. Finally, through exploiting data aggregation and clustering methods, the similarity measure provides the foundation for grouping and summarizing snow profiles according to similar hazard conditions. For more background information refer to Herla, Horton, and Haegeli (accepted) .


Reference manual

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1.0.2 by Florian Herla, a year ago

Browse source code at

Authors: Florian Herla [aut, cre] , Pascal Haegeli [aut] , Simon Horton [aut] , SFU Avalanche Research Program [fnd]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports dtw, grid, shiny

Depends on sarp.snowprofile

Suggests knitr, rmarkdown, dendextend, smacof

See at CRAN