select_linkage

This function contrasts different hierarchical clustering algorithms
on the phylogenetic beta diversity matrix for degree of
data distortion using Sokal &amp; Rohlf’s (1962) cophenetic
correlation coefficient.

bioregion

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

select_linkage function

<dl><dt>x</dt>
<dd>a numeric matrix, data frame or "dist" object.</dd></dl>

Arguments

Cluster algorithm selection and validation — select_linkage

<dl>

<dt>x</dt>
<dd>a numeric matrix, data frame or "dist" object.</dd>

</dl>

select_linkage: Cluster algorithm selection and validation

Description

Usage

Value

Arguments

References

Examples