An R package for biogeographic regionalization (the classification of
geographical areas in terms of their biotas) and macroecology. With
macroecological datasets of ever increasing size and complexity,
phyloregion
offers the possibility of handling and
executing very large scale analysis of biogeographic regionalization. It
also allows fast and memory efficient analysis of standard conservation
measures such as phylogenetic diversity, phylogenetic endemism,
evolutionary distinctiveness and global endangerment.
phyloregion
can run on any operating system (Mac, Linux,
Windows or even high performance computing cluster) with R
3.6.0 (or higher) installed.
The original implementation of phyloregion
is described
in:
Daru, B.H., Karunarathne, P. & Schliep, K. (2020) phyloregion: R package for biogeographic regionalization and macroecology. Methods in Ecology and Evolution 11: 1483-1491. doi: 10.1111/2041-210X.13478.
It is based on the method described in:
Daru, B.H., Farooq, H., Antonelli, A. & Faurby, S. (2020) Endemism patterns are scale dependent. Nature Communications 11: 2115 doi: 10.1038/s41467-020-15921-6.
The original conceptual is described in:
Daru, B.H., Elliott, T.L., Park, D.S. & Davies, T.J. (2017) Understanding the processes underpinning patterns of phylogenetic regionalization. Trends in Ecology & Evolution 32: 845-860. doi: 10.1016/j.tree.2017.08.013
phyloregion
is available from the Comprehensive R
Archive Network, so you can use the following line of code to
install and run it:
install.packages("phyloregion")
Alternatively, you can install the development version of
phyloregion
hosted on GitHub. To do this, you will need to
install the devtools
package. In R, type:
if (!requireNamespace("devtools", quietly = TRUE))
install.packages("devtools")
devtools::install_github("darunabas/phyloregion")
If you have any questions, suggestions or issues regarding the package, please add them to GitHub issues
The license for phyloregion
is similar to that of the
package on CRAN
:
License: AGPL-3
The AGPL-3 license can be found at: https://cran.r-project.org/web/licenses/AGPL-3