Identify Records Assigned to GBIF Headquarters
Removes or flags records within 0.5 degree radius around the GBIF headquarters in Copenhagen, DK.
cc_gbif( x, lon = "decimallongitude", lat = "decimallatitude", species = "species", buffer = 1000, geod = TRUE, verify = FALSE, value = "clean", verbose = TRUE )
x |
data.frame. Containing geographical coordinates and species names. |
lon |
character string. The column with the longitude coordinates. Default = “decimallongitude”. |
lat |
character string. The column with the latitude coordinates. Default = “decimallatitude”. |
species |
character string. The column with the species identity. Only required if verify = TRUE. |
buffer |
numerical. The buffer around the GBIF headquarters, where records should be flagged as problematic. Units depend on geod. Default = 100 m. |
geod |
logical. If TRUE the radius is calculated based on a sphere, buffer is in meters. If FALSE the radius is calculated in degrees. Default = T. |
verify |
logical. If TRUE records are only flagged if they are the only record in a given species flagged close to a given reference. If FALSE, the distance is the only criterion |
value |
character string. Defining the output value. See value. |
verbose |
logical. If TRUE reports the name of the test and the number of records flagged. |
Not recommended if working with records from Denmark or the Copenhagen area.
Depending on the ‘value’ argument, either a data.frame
containing the records considered correct by the test (“clean”) or a
logical vector (“flagged”), with TRUE = test passed and FALSE = test failed/potentially
problematic . Default = “clean”.
x <- data.frame(species = "A",
decimallongitude = c(12.58, 12.58),
decimallatitude = c(55.67, 30.00))
cc_gbif(x)
cc_gbif(x, value = "flagged")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.