extractFromScoringMatrix

Scoring matrix of type data.frame (needs to be of symmetric, matrix like format)

ScoringFrame

character vector (yes, vector!) of grain type contained in ScoringFrame

grainType1

grainType2

character or numeric handle that links a potential warning message to the set of grain types,
if an unknown grain type is encountered (must be of length = 1)

profile_handle

Vectorized function to efficiently extract elements from scoring matrix of type data.frame

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) <doi:10.5194/gmd-2020-171>.

extractFromScoringMatrix: Extract from Scoring matrix

Description

Usage

Arguments

Value