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Facetted count occurrence search.

Source: R/count_facet.r
count_facet.Rd

Facetted count occurrence search.

Usage

count_facet(keys = NULL, by = "country", countries = 10, removezeros = FALSE)

Arguments

keys

(numeric) GBIF keys, a vector. optional

by

(character) One of georeferenced, basisOfRecord, country, or publishingCountry. default: country

countries

(numeric) Number of countries to facet on, or a vector of country names. default: 10

removezeros

(logical) remove zeros or not? default: FALSE

Examples

if (FALSE) {
# Select number of countries to facet on
count_facet(by='country', countries=3, removezeros = TRUE)
# Or, pass in country names
count_facet(by='country', countries='AR', removezeros = TRUE)

spplist <- c('Geothlypis trichas','Tiaris olivacea','Pterodroma axillaris',
             'Calidris ferruginea','Pterodroma macroptera',
             'Gallirallus australis',
             'Falco cenchroides','Telespiza cantans','Oreomystis bairdi',
             'Cistothorus palustris')
keys <- sapply(spplist,
  function(x) name_backbone(x, rank="species")$usageKey)
count_facet(keys, by='country', countries=3, removezeros = TRUE)
count_facet(keys, by='country', countries=3, removezeros = FALSE)
count_facet(by='country', countries=20, removezeros = TRUE)
count_facet(keys, by='basisOfRecord', countries=5, removezeros = TRUE)

# Pass in country names instead
countries <- isocodes$code[1:10]
count_facet(by='country', countries=countries, removezeros = TRUE)

# get occurrences by georeferenced state
## across all records
count_facet(by='georeferenced')

## by keys
count_facet(keys, by='georeferenced')

# by basisOfRecord
count_facet(by="basisOfRecord")
}