candidate_data

A synthetic record, resembling d13C data, for testing the DTW algorithm

datasets

A dynamic time warping (DTW) algorithm for stratigraphic alignment,
translated into R from the original published 'MATLAB' code by Hay et al. (2019)
<doi:10.1130/G46019.1>. The DTW algorithm incorporates two geologically relevant
parameters (g and edge) for augmenting the typical DTW cost matrix, allowing
for a range of sedimentologic and chronologic conditions to be explored, as
well as the generation of an alignment library (as opposed to a single alignment
solution). The g parameter relates to the relative sediment accumulation rate
between the two time series records, while the edge parameter relates to the
amount of total shared time between the records. Note that this algorithm is
used for all DTW alignments in the Align Shiny application, detailed in Hagen
et al. (in review).

Cedric Hagen

align

A Modified DTW Algorithm for Stratigraphic Time Series Alignment

candidate_data function

## `candidate_data`
An array with 50 rows and 2 columns:<dl>
 <dt>d13c</dt>
<dd>Synthetic d13C values</dd> <dt>m</dt>
<dd>Synthetic meterage values</dd> ...</dl>

Format

Synthetic Candidate Data — candidate_data

## `candidate_data`
An array with 50 rows and 2 columns:<dl>
 <dt>d13c</dt>
<dd>Synthetic d13C values</dd>

 <dt>m</dt>
<dd>Synthetic meterage values</dd>

 ...

</dl>

candidate_data: Synthetic Candidate Data

Description

Usage

Arguments

Format