Package: WEGE 0.1.0

WEGE: A Metric to Rank Locations for Biodiversity Conservation

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>.

Authors:Harith Farooq [aut, cre], Josué Azevedo [aut], Francesco Belluardo [aut], Cristóvão Nanvonamuquitxo [aut], Dom Bennett [aut], Jason Moat [aut], Amadeu Soares [aut], Søren Faurby [aut], Alexandre Antonelli [aut]

WEGE_0.1.0.tar.gz
WEGE_0.1.0.zip(r-4.5)WEGE_0.1.0.zip(r-4.4)WEGE_0.1.0.zip(r-4.3)
WEGE_0.1.0.tgz(r-4.4-any)WEGE_0.1.0.tgz(r-4.3-any)
WEGE_0.1.0.tar.gz(r-4.5-noble)WEGE_0.1.0.tar.gz(r-4.4-noble)
WEGE_0.1.0.tgz(r-4.4-emscripten)WEGE_0.1.0.tgz(r-4.3-emscripten)
WEGE.pdf |WEGE.html
WEGE/json (API)

# Install 'WEGE' in R:
install.packages('WEGE', repos = c('https://harithmorgadinho.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 17 dependencies 7 scripts 117 downloads

Last updated 4 years agofrom:c7537c7c54. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:get_edgeget_kba_criteriaget_wegespat_ras

Dependencies:classclassIntDBIe1071KernSmoothlatticemagrittrMASSproxyrasterRcpps2sfspterraunitswk