datasets

Determine the chlorophyll a (Chl a) concentrations of different
phytoplankton groups based on their pigment biomarkers. The method uses
non-negative matrix factorisation and simulated annealing to minimise error
between the observed and estimated values of pigment concentrations
(Hayward et al. (2023) <doi:10.1002/lom3.10541>).
The approach is similar to the widely used 'CHEMTAX' program
(Mackey et al. 1996) <doi:10.3354/meps144265>, but is more straightforward,
accurate, and not reliant on initial guesses for the pigment to Chl a
ratios for phytoplankton groups.

Alexander Hayward

phytoclass

Estimate Chla Concentrations of Phytoplankton Groups

Tylar Murray

Sebastian Di Geronimo

Mohd Aasim Maqsood Khan

Andy McKenzie

Sm function


<div class="section" id="sm">
<h3><code>Sm</code></h3><p></p><p>
</p><p>A data frame with 29 rows and 15 columns:</p><dl>
<dt>chl_c1</dt>
<dd><p>XX</p></dd><p></p><p><dt>Per</dt>
<dd><p>XX</p></dd></p><p><dt>X19but</dt>
<dd><p>XX</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Sm data — Sm


<div class='section' id='sm'>
<h3><code>Sm</code></h3>


<p>A data frame with 29 rows and 15 columns:</p><dl>
<dt>chl_c1</dt>
<dd><p>XX</p></dd>

<dt>Per</dt>
<dd><p>XX</p></dd>

<dt>X19but</dt>
<dd><p>XX</p></dd>

...

</dl>

</div>


Sm data

Sm: Sm data

Description

Usage

Arguments

Format

`Sm`