bam-class

Species Distribution Modeling (SDM) is a practical methodology
that aims to estimate the area of distribution of a species. However,
most of the work has focused on estimating static expressions of the
correlation between environmental variables. The outputs of
correlative species distribution models can be interpreted
as maps of the suitable environment for a species but not generally as maps
of its actual distribution.
Soberón and Peterson (2005) <doi:10.17161/bi.v2i0.4> presented
the BAM scheme, a heuristic framework that states that the occupied area of
a species occurs on sites that have been accessible through dispersal (M) and
have both favorable biotic (B) and abiotic conditions (A).
The 'bamm' package implements classes and functions to operate on each element
of the BAM and by using a cellular automata model where the occupied area
of a species at time t is estimated by the multiplication of three
binary matrices: one matrix represents movements (M), another
abiotic -niche- tolerances (A), and a third, biotic interactions (B).
The theoretical background of the package can be found in
Soberón and Osorio-Olvera (2022) <arXiv:2212.06308>.

Luis Osorio-Olvera

bamm

Species Distribution Models as a Function of Biotic, Abiotic and
Movement Factors (BAM)

Jorge Soberón

bam-class function

<dl>
<dt><code>sdm_sim</code></dt>
<dd>A list of sparse vectors representing the area occupied</dd></dl>
<dt><code>palatable_matrices</code></dt>
<dd>A list of sparse vectors representing palatable
sites.</dd>
<dt><code>sim_steps</code></dt>
<dd>Number of simulation steps
by the species</dd>

Slots

Luis Osorio-Olvera &amp; Jorge Soberón

Author

Class bam digram — bam-class

<dl>
<dt><code>sdm_sim</code></dt>
<dd>A list of sparse vectors representing the area occupied</dd>


<dt><code>palatable_matrices</code></dt>
<dd>A list of sparse vectors representing palatable
sites.</dd>


<dt><code>sim_steps</code></dt>
<dd>Number of simulation steps
by the species</dd>


</dl>

bam-class: Class `bam` digram

Description

Arguments

Value

Slots

Author