Facetted count occurrence search.
count_facet(keys = NULL, by = "country", countries = 10, removezeros = FALSE)
keys | (numeric) GBIF keys, a vector. |
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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 |
# 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 count_facet(keys, by='georeferenced') # by basisOfRecord count_facet(by="basisOfRecord") # }