cc_zero function

Identify Zero Coordinates

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.

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.

Returns

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.

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")

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()