rgbif (version 3.8.1)

name_lookup: Lookup names in all taxonomies in GBIF.

Description

This service uses fuzzy lookup so that you can put in partial names and you should get back those things that match. See examples below.

Faceting: If facet=FALSE or left to the default (NULL), no faceting is done. And therefore, all parameters with facet in their name are ignored (facetOnly, facetMincount, facetMultiselect).

Usage

name_lookup(
  query = NULL,
  rank = NULL,
  higherTaxonKey = NULL,
  status = NULL,
  isExtinct = NULL,
  habitat = NULL,
  nameType = NULL,
  datasetKey = NULL,
  origin = NULL,
  nomenclaturalStatus = NULL,
  limit = 100,
  start = 0,
  facet = NULL,
  facetMincount = NULL,
  facetMultiselect = NULL,
  type = NULL,
  hl = NULL,
  issue = NULL,
  constituentKey = NULL,
  verbose = FALSE,
  return = NULL,
  curlopts = list()
)

Value

An object of class gbif, which is a S3 class list, with slots for metadata (meta), the data itself (data), the taxonomic hierarchy data (hierarchies), and vernacular names (names). In addition, the object has attributes listing the user supplied arguments and type of search, which is, differently from occurrence data, always equals to 'single' even if multiple values for some parameters are given. meta is a list of length four with offset, limit, endOfRecords and count fields. data is a tibble (aka data.frame) containing all information about the found taxa. hierarchies is a list of data.frame's, one per GBIF key (taxon), containing its taxonomic classification. Each data.frame contains two columns: rankkey and name. names returns a list of data.frame's, one per GBIF key (taxon), containing all vernacular names. Each data.frame contains two columns: vernacularName and language.

A list of length five:

• metadata

• data: either a data.frame (verbose=FALSE, default) or a list (verbose=TRUE).

• facets

• hierarchies

• names

Arguments

query

Query term(s) for full text search.

rank

CLASS, CULTIVAR, CULTIVAR_GROUP, DOMAIN, FAMILY, FORM, GENUS, INFORMAL, INFRAGENERIC_NAME, INFRAORDER, INFRASPECIFIC_NAME, INFRASUBSPECIFIC_NAME, KINGDOM, ORDER, PHYLUM, SECTION, SERIES, SPECIES, STRAIN, SUBCLASS, SUBFAMILY, SUBFORM, SUBGENUS, SUBKINGDOM, SUBORDER, SUBPHYLUM, SUBSECTION, SUBSERIES, SUBSPECIES, SUBTRIBE, SUBVARIETY, SUPERCLASS, SUPERFAMILY, SUPERORDER, SUPERPHYLUM, SUPRAGENERIC_NAME, TRIBE, UNRANKED, VARIETY

higherTaxonKey

Filters by any of the higher Linnean rank keys. Note this is within the respective checklist and not searching nub keys across all checklists. This parameter accepts many inputs in a vector ( passed in the same request).

status

Filters by the taxonomic status as one of:

• ACCEPTED

• DETERMINATION_SYNONYM Used for unknown child taxa referred to via spec, ssp, ...

• DOUBTFUL Treated as accepted, but doubtful whether this is correct.

• HETEROTYPIC_SYNONYM More specific subclass of SYNONYM.

• HOMOTYPIC_SYNONYM More specific subclass of SYNONYM.

• INTERMEDIATE_RANK_SYNONYM Used in nub only.

• MISAPPLIED More specific subclass of SYNONYM.

• PROPARTE_SYNONYM More specific subclass of SYNONYM.

• SYNONYM A general synonym, the exact type is unknown.

isExtinct

(logical) Filters by extinction status (e.g. isExtinct=TRUE)

habitat

(character) Filters by habitat. One of: marine, freshwater, or terrestrial

nameType

Filters by the name type as one of:

• BLACKLISTED surely not a scientific name.

• CANDIDATUS Candidatus is a component of the taxonomic name for a bacterium that cannot be maintained in a Bacteriology Culture Collection.

• CULTIVAR a cultivated plant name.

• DOUBTFUL doubtful whether this is a scientific name at all.

• HYBRID a hybrid formula (not a hybrid name).

• INFORMAL a scientific name with some informal addition like "cf." or indetermined like Abies spec.

• SCINAME a scientific name which is not well formed.

• VIRUS a virus name.

• WELLFORMED a well formed scientific name according to present nomenclatural rules.

datasetKey

Filters by the dataset's key (a uuid)

origin

(character) Filters by origin. One of:

• SOURCE

• DENORMED_CLASSIFICATION

• VERBATIM_ACCEPTED

• EX_AUTHOR_SYNONYM

• AUTONYM

• BASIONYM_PLACEHOLDER

• MISSING_ACCEPTED

• IMPLICIT_NAME

• PROPARTE

• VERBATIM_BASIONYM

nomenclaturalStatus

Not yet implemented, but will eventually allow for filtering by a nomenclatural status enum.

limit

Number of records to return. Hard maximum limit set by GBIF API: 99999.

start

Record number to start at. Default: 0.

facet

A vector/list of facet names used to retrieve the 100 most frequent values for a field. Allowed facets are: datasetKey, higherTaxonKey, rank, status, isExtinct, habitat, and nameType. Additionally threat and nomenclaturalStatus are legal values but not yet implemented, so data will not yet be returned for them.

facetMincount

Used in combination with the facet parameter. Set facetMincount to exclude facets with a count less than x, e.g. http://bit.ly/2osAUQB only shows the type values 'CHECKLIST' and 'OCCURRENCE' because the other types have counts less than 10000

facetMultiselect

(logical) Used in combination with the facet parameter. Set facetMultiselect=TRUE to still return counts for values that are not currently filtered, e.g. http://bit.ly/2JAymaC still shows all type values even though type is being filtered by type=CHECKLIST.

type

Type of name. One of occurrence, checklist, or metadata.

hl

(logical) Set hl=TRUE to highlight terms matching the query when in fulltext search fields. The highlight will be an emphasis tag of class gbifH1 e.g. query='plant', hl=TRUE. Fulltext search fields include: title, keyword, country, publishing country, publishing organization title, hosting organization title, and description. One additional full text field is searched which includes information from metadata documents, but the text of this field is not returned in the response.

issue

Filters by issue. Issue has to be related to names. Type gbif_issues() to get complete list of issues.

constituentKey

Filters by the dataset's constituent key (a uuid).

verbose

(logical) If TRUE, all data is returned as a list for each element. If FALSE (default) a subset of the data that is thought to be most essential is organized into a data.frame.

return

Defunct. All components are returned; index to the one(s) you want

curlopts

list of named curl options passed on to HttpClient. see curl::curl_options for curl options

Repeat parameter inputs

Some parameters can take many inputs, and treated as 'OR' (e.g., a or b or c). The following take many inputs:

• rank

• higherTaxonKey

• status

• habitat

• nameType

• datasetKey

• origin

References

https://www.gbif.org/developer/species#searching

Examples

if (FALSE) {
# Look up names like mammalia
name_lookup(query='mammalia', limit = 20)

# Start with an offset
name_lookup(query='mammalia', limit=1)
name_lookup(query='mammalia', limit=1, start=2)

# large requests (paging is internally implemented).
# hard maximum limit set by GBIF API: 99999
# name_lookup(query = "Carnivora", limit = 10000)

# Get all data and parse it, removing descriptions which can be quite long
out <- name_lookup('Helianthus annuus', rank="species", verbose=TRUE)
lapply(out$data, function(x) {
  x[!names(x) %in% c("descriptions","descriptionsSerialized")]
})

# Search for a genus
name_lookup(query="Cnaemidophorus", rank="genus")
# Limit records to certain number
name_lookup('Helianthus annuus', rank="species", limit=2)

# Query by habitat
name_lookup(habitat = "terrestrial", limit=2)
name_lookup(habitat = "marine", limit=2)
name_lookup(habitat = "freshwater", limit=2)

# Using faceting
name_lookup(facet='status', limit=0, facetMincount='70000')
name_lookup(facet=c('status','higherTaxonKey'), limit=0,
  facetMincount='700000')

name_lookup(facet='nameType', limit=0)
name_lookup(facet='habitat', limit=0)
name_lookup(facet='datasetKey', limit=0)
name_lookup(facet='rank', limit=0)
name_lookup(facet='isExtinct', limit=0)

name_lookup(isExtinct=TRUE, limit=0)

# text highlighting
## turn on highlighting
res <- name_lookup(query='canada', hl=TRUE, limit=5)
res$data
name_lookup(query='canada', hl=TRUE, limit=45)
## and you can pass the output to gbif_names() function
res <- name_lookup(query='canada', hl=TRUE, limit=5)
gbif_names(res)

# Lookup by datasetKey (set up sufficient high limit, API maximum: 99999)
# name_lookup(datasetKey='3f8a1297-3259-4700-91fc-acc4170b27ce',
#   limit = 50000)

# Some parameters accept many inputs, treated as OR
name_lookup(rank = c("family", "genus"))
name_lookup(higherTaxonKey = c("119", "120", "121", "204"))
name_lookup(status = c("misapplied", "synonym"))$data
name_lookup(habitat = c("marine", "terrestrial"))
name_lookup(nameType = c("cultivar", "doubtful"))
name_lookup(datasetKey = c("73605f3a-af85-4ade-bbc5-522bfb90d847",
  "d7c60346-44b6-400d-ba27-8d3fbeffc8a5"))
name_lookup(datasetKey = "289244ee-e1c1-49aa-b2d7-d379391ce265",
  origin = c("SOURCE", "DENORMED_CLASSIFICATION"))

# Pass on curl options
name_lookup(query='Cnaemidophorus', rank="genus",
  curlopts = list(verbose = TRUE))
}