View source: R/gbif_verify_keys.R
gbif_verify_keys | R Documentation |
This function performs three checks:
keys
are valid GBIF taxon keys. That means that adding a key
at the end of the URL https://www.gbif.org/species/ returns a GBIF page
related to a taxa.
keys
are taxon keys of the GBIF Backbone Taxonomy checklist.
That means that adding a key at the end of the URL
https://www.gbif.org/species/ returns a GBIF page related to a taxa of the
GBIF Backbone.)
keys
are synonyms of other taxa (taxonomicStatus neither
ACCEPTED
nor DOUBTFUL
).
gbif_verify_keys(keys, col_keys = "key")
keys |
(character or numeric) a vector, a list, or a data.frame containing the keys to verify. |
col_keys |
(character) name of column containing keys in case
|
a data.frame with the following columns:
key
: (numeric) keys as input keys.
is_taxonKey
: (logical) is the key a valid GBIF taxon key?
is_from_gbif_backbone
: (logical) is the key a valid taxon key from
GBIF Backbone Taxonomy checklist?
is_synonym
: (logical) is the key related to a synonym (not
ACCEPTED
or DOUBTFUL
)?
If a key didn't pass the first check (is_taxonKey
= FALSE
) then
NA
for other two columns. If a key didn't pass the second check
(is_from_gbif_backbone
= FALSE
) then is_synonym
= NA
.
## Not run:
# input is a vector
keys1 <- c(
"12323785387253", # invalid GBIF taxonKey
"128545334", # valid taxonKey, not a GBIF Backbone key
"1000693", # a GBIF Backbone key, synonym
"1000310", # a GBIF Backbone key, accepted
NA, NA
)
# input is a df
keys2 <- data.frame(
keys = keys1,
other_col = sample.int(40, size = length(keys1)),
stringsAsFactors = FALSE
)
# input is a named list
keys3 <- keys1
names(keys3) <- purrr::map_chr(
c(1:length(keys3)),
~ paste(sample(c(0:9, letters, LETTERS), 3),
collapse = ""
)
)
# input keys are numeric
keys4 <- as.numeric(keys1)
gbif_verify_keys(keys1)
gbif_verify_keys(keys2, col_keys = "keys")
gbif_verify_keys(keys3)
gbif_verify_keys(keys4)
## End(Not run)
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