plot.sparse

This function visualizes a sparse matrix using vertical bands corresponding
to presence or absence of a species in an area.

Computational infrastructure for biogeography, community ecology,
and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>.
It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>.
The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013>
on patterns and processes of biogeographical regionalization. Additionally, the package
contains fast and efficient functions to compute more standard conservation measures
such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness
and global endangerment, as well as compositional turnover (e.g., beta diversity).

Barnabas H. Daru

phyloregion

Biogeographic Regionalization and Macroecology

Piyal Karunarathne

Klaus Schliep

Xiaobei Zhao

Albin Sandelin

Luciano Pataro

plot.sparse function

<dl><dt>x</dt>
<dd>A matrix</dd>
<dt>col</dt>
<dd>A vector of colors to represent presence or absence of a species</dd>
<dt>lwd</dt>
<dd>Line width</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Create illustrative sparse matrix — plot.sparse

<dl>

<dt>x</dt>
<dd>A matrix</dd>


<dt>col</dt>
<dd>A vector of colors to represent presence or absence of a species</dd>


<dt>lwd</dt>
<dd>Line width</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

plot.sparse: Create illustrative sparse matrix

Description

Usage

Value

Arguments