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Description

Evolutionary Diversity Metrics for Raster Data.

Phylogenetic Diversity (PD, Faith 1992), Evolutionary Distinctiveness (ED, Isaac et al. 2007), Phylogenetic Endemism (PE, Rosauer et al. 2009; Laffan et al. 2016), and Weighted Endemism (WE, Laffan et al. 2016) for presence-absence raster. Faith, D. P. (1992) <doi:10.1016/0006-3207(92)91201-3> Isaac, N. J. et al. (2007) <doi:10.1371/journal.pone.0000296> Laffan, S. W. et al. (2016) <doi:10.1111/2041-210X.12513> Rosauer, D. et al. (2009) <doi:10.1111/j.1365-294X.2009.04311.x>.

CRAN-status R-CMD-check codecov download download per month

phyloraster phyloraster website


phyloraster is an R package to calculate measures of endemism and evolutionary diversity using rasters of presence-absence as input, allowing to join the results derived from species distribution models (SDMs) with phylogenetic information.


Installation

The CRAN version of the package can be installed using:

install.packages("phyloraster") 

The development version of phyloraster can be downloaded from GitHub using the following code:

devtools::install_github("gabferreira/phyloraster")

Example usage

Example usage and information about the package can be found at the package's webpage or in the vignette vignette("phyloraster-vignette")


Citation

Please cite both the package and the article describing the methods in your publications:. Here is an example:

  • Article recently published in Ecography: Alves-Ferreira G, Mota FMM, Talora DC, Oliveira, C, Solé, MK, Heming NM (2024). phyloraster: an R package to calculate measures of endemism and evolutionary diversity for rasters. Ecography. doi: 10.1111/ecog.06902.

  • Package published in CRAN: Alves-Ferreira G, Heming NM, Mota FMM. (2024). phyloraster: Evolutionary Diversity Metrics for Raster Data. R package version 2.0. doi: 10.32614/CRAN.package.phyloraster

For more information:

citation("phyloraster")

Issues

If you have any question or find any bug, let us know through the topic Issues.


Metadata

Version

2.2.0

License

Unknown

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