model2sparse

model2sparse: Converts a niche model into a diagonal sparse matrix

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
(2023) <doi:10.1111/jbi.14587>.

Luis Osorio-Olvera

bamm

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

Jorge Soberón

Rusby G. Contreras-Díaz

model2sparse function

<dl><dt>model</dt>
<dd>A raster object representing the geographic projection
of a niche model.</dd>
<dt>threshold</dt>
<dd>A threshold to convert a continuous model into a
binary model.</dd></dl>

Arguments

Luis Osorio-Olvera &amp; Jorge Soberón

Author

model2sparse: Converts a niche model into a diagonal sparse matrix — model2sparse

<dl>

<dt>model</dt>
<dd>A raster object representing the geographic projection
of a niche model.</dd>


<dt>threshold</dt>
<dd>A threshold to convert a continuous model into a
binary model.</dd>

</dl>

model2sparse: model2sparse: Converts a niche model into a diagonal sparse matrix

Description

Usage

Value

Arguments

Author

Details

Examples