View source: R/cat_mult_criteria.R
cat_mult_criteria | R Documentation |
Provide the consensus IUCN category based on multiples IUCN sub-criteria.
cat_mult_criteria(assess.df = NULL, evidence.df = NULL)
assess.df |
a data frame containing the taxon name in the first columns and the assessments under each criterion in the subsequent columns. |
evidence.df |
a data frame (not currently implemented) |
The definition of the main category of threat, follows the recommendations of IUCN (2019) that states "Only the criteria for the highest category of threat that the taxon qualifies for should be listed". Therefore, the consensus category is the highest category of threat among the sub-criteria evaluated. Nevertheless, the function also returns the categories and sub-criteria related to lower categories of threat.
The same data frame as assess.df
with three new columns: the
consensus category ('category'), the main criteria that lead to this
category ('main.criteria'). It also returns the auxiliary category provided
by other criteria ('aux.criteria'), separated by a ';'
Renato A. Ferreira de Lima
IUCN 2019. Guidelines for Using the IUCN Red List Categories and Criteria. Version 14. Standards and Petitions Committee. Downloadable from: http://www.iucnredlist.org/documents/RedListGuidelines.pdf.
df <- data.frame(tax = c("sp1","sp2","sp3","sp4"),
A2 = c(NA, "VU", "VU", NA),
B1 = c("LC", "VU", "LC", "LC"),
B2 = c("LC", "EN", "LC", "VU"),
D = c(NA, "LC", "LC", NA))
cat_mult_criteria(df)
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