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WEGE
View on CRAN: Click
here
Download and install WEGE package within the R console
Install from CRAN:
install.packages("WEGE")
Install from Github:
library("remotes")
install_github("cran/WEGE")
Install by package version:
library("remotes")
install_version("WEGE", "0.1.0")
Attach the package and use:
library("WEGE")
Maintained by
Harith Farooq
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-17
Latest Update: 2020-06-17
Description:
Calculates the WEGE (Weighted Endemism including Global Endangerment index) index for a particular area. Additionally it also calculates rasters of KBA's (Key Biodiversity Area) criteria (A1a, A1b, A1e, and B1), Weighted endemism (WE), the EDGE (Evolutionarily Distinct and Globally Endangered) score, Evolutionary Distinctiveness (ED) and Extinction risk (ER). Farooq, H., Azevedo, J., Belluardo F., Nanvonamuquitxo, C., Bennett, D., Moat, J., Soares, A., Faurby, S. & Antonelli, A. (2020) <doi:10.1101/2020.01.17.910299>.
How to cite:
Harith Farooq (2020). WEGE: A Metric to Rank Locations for Biodiversity Conservation. R package version 0.1.0, https://cran.r-project.org/web/packages/WEGE. Accessed 11 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited WEGE R package
View WEGE citation profile
Other R packages that WEGE depends,
imports, suggests or enhances
Complete documentation for WEGE
Functions, R codes and Examples using
the WEGE R package
Some associated functions: WEGE . get_edge . get_kba_criteria . get_wege . spat_ras .
Some associated R codes: WEGE.R . get_edge_function.R . get_kba_criteria_function.R . get_wege_function.R . spat_ras_function.R . Full WEGE package functions and examples
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