rgbif (version 0.7.0)

count_facet: Facetted count occurrence search.

Description

Facetted count occurrence search.

Usage

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

Arguments

keys

(numeric) GBIF keys, a vector.

by

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

countries

(numeric) Number of countries to facet on, or a vector of country names

removezeros

(logical) Default is FALSE

Examples

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=3, removezeros = TRUE)
count_facet(by='country', countries=20, 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
out <- count_facet(keys, by='georeferenced')
library("reshape2")
dcast(out, .id ~ georeferenced)

# by basisOfRecord
count_facet(by="basisOfRecord")