Get a IUCN Redlist taxon
get_iucn(x, verbose = TRUE, key = NULL, ...)as.iucn(x, check = TRUE, key = NULL)
# S3 method for iucn
as.iucn(x, check = TRUE, key = NULL)
# S3 method for character
as.iucn(x, check = TRUE, key = NULL)
# S3 method for list
as.iucn(x, check = TRUE, key = NULL)
# S3 method for numeric
as.iucn(x, check = TRUE, key = NULL)
# S3 method for data.frame
as.iucn(x, check = TRUE, key = NULL)
# S3 method for iucn
as.data.frame(x, ...)
(character) A vector of common or scientific names
logical; should progress be printed?
(character) required. you IUCN Redlist API key. See
rredlist-package
for help on authenticating with
IUCN Redlist
Ignored
(logical) Check if ID matches any existing on the DB, only
used in as.iucn
A vector of taxonomic identifiers as an S3 class.
Comes with the following attributes:
match (character) - the reason for NA, either 'not found',
'found' or if ask = FALSE
then 'NA due to ask=FALSE')
name (character) - the taxonomic name, which is needed in
synonyms
and sci2comm
methods since they
internally use rredlist functions which require the taxonomic name,
and not the taxonomic identifier
uri (character) - The URI where more information can be read on the taxon - includes the taxonomic identifier in the URL somewhere
multiple_matches and pattern_match do not apply here as in
other get_*
methods since there is no IUCN Redlist search,
so you either get a match or you do not get a match.
There is no underscore method, because there's no real search for IUCN, that is, where you search for a string, and get back a bunch of results due to fuzzy matching. If that exists in the future we'll add an underscore method here.
Other taxonomic-ids: get_boldid
,
get_colid
, get_eolid
,
get_gbifid
, get_ids
,
get_natservid
, get_nbnid
,
get_tolid
, get_tpsid
,
get_tsn
, get_uid
,
get_wiki
, get_wormsid
# NOT RUN {
get_iucn(x = "Branta canadensis")
get_iucn(x = "Branta bernicla")
get_iucn(x = "Panthera uncia")
# as coercion
as.iucn(22732)
as.iucn("22732")
(res <- as.iucn(c(22679946, 22732, 22679935)))
data.frame(res)
as.iucn(data.frame(res))
# }
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