grainSimilarity_align: Grain Type similarity matrix for DTW alignments

In sarp.snowprofile.alignment: Snow Profile Alignment, Aggregation, and Clustering

Grain Type similarity matrix for DTW alignments

Description

Get the relative similarity matrix of grain types as used for snow profile alignments. This similarity matrix considers the formation and metamorphosis of grain types, as well as quirks of the SNOWPACK model.
grainSimilarity_evaluate is an analogous matrix designed for assessing the similarity between two profiles, which requires considering the resulting avalanche hazard implications of grain types.
The domain is [0, 1] — 1 representing identical grain types. The column 'NA' can be used for unknown grain types.

Usage

grainSimilarity_align(triag = TRUE)

Arguments

triag

Return a triangular matrix (TRUE, default) or a symmetric matrix (FALSE)

Value

data.frame, either triangular or symmetric

Author(s)

fherla

See Also

grainSimilarity_evaluate, layerWeightingMat

Examples

## "similarity" matrix:
simMat <- grainSimilarity_align()
print(simMat)

## equivalent "distance" matrix:
distMat <- sim2dist(grainSimilarity_align())
print(distMat)

sarp.snowprofile.alignment documentation built on Aug. 8, 2022, 1:05 a.m.