cc_zero: Identify Zero Coordinates

In CoordinateCleaner: Automated Cleaning of Occurrence Records from Biological Collections

Identify Zero Coordinates

Description

Removes or flags records with either zero longitude or latitude and a radius around the point at zero longitude and zero latitude. These problems are often due to erroneous data-entry or geo-referencing and can lead to typical patterns of high diversity around the equator.

Usage

cc_zero(
  x,
  lon = "decimalLongitude",
  lat = "decimalLatitude",
  buffer = 0.5,
  value = "clean",
  verbose = TRUE
)

Arguments

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”.
buffer	numerical. The buffer around the 0/0 point, where records should be flagged as problematic, in decimal degrees. Default = 0.5.
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.

Value

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”.

Note

See https://ropensci.github.io/CoordinateCleaner/ for more details and tutorials.

See Also

Other Coordinates: cc_aohi(), cc_cap(), cc_cen(), cc_coun(), cc_dupl(), cc_equ(), cc_gbif(), cc_inst(), cc_iucn(), cc_outl(), cc_sea(), cc_urb(), cc_val()

Examples

x <- data.frame(species = "A", 
                decimalLongitude = c(0,34.84, 0, 33.98), 
                decimalLatitude = c(23.08, 0, 0, 15.98))
                
cc_zero(x)
cc_zero(x, value = "flagged")

CoordinateCleaner documentation built on Oct. 25, 2023, 1:08 a.m.