beta_core

beta_diss

Data are assumed to be presence / absence (0 / 1) and all values greater
zero are assumed to reflect presence.

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

beta_core function

<dl><dt>x</dt>
<dd>an object of class Matrix, where rows are sites and columns are
species.</dd>
<dt>index.family</dt>
<dd>family of dissimilarity indices, partial match of
"sorensen" or "jaccard".</dd></dl>

Arguments

Author

Taxonomic (non-phylogenetic) beta diversity — beta_core

<dl>

<dt>x</dt>
<dd>an object of class Matrix, where rows are sites and columns are
species.</dd>


<dt>index.family</dt>
<dd>family of dissimilarity indices, partial match of
"sorensen" or "jaccard".</dd>

</dl>

beta_core: Taxonomic (non-phylogenetic) beta diversity

Description

Usage

Value

Arguments

Author

Details

See Also

Examples