rgbif (version 0.9.7)

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

## Not run: 
# # 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")$usageKey)
# count_facet(keys, by='country', countries=3, removezeros = TRUE)
# count_facet(keys, by='country', countries=3, removezeros = FALSE)
# count_facet(by='country', countries=20, removezeros = TRUE)
# 
# # Pass in country names instead
# countries <- isocodes$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")
# ## End(Not run)