cc_val function

Identify Invalid lat/lon Coordinates

Removes or flags non-numeric and not available coordinates as well as lat >90, lat <-90, lon > 180 and lon < -180 are flagged.

cc_val(
  x,
  lon = "decimalLongitude",
  lat = "decimalLatitude",
  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 .
• 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 .

Details

This test is obligatory before running any further tests of CoordinateCleaner, as additional tests only run with valid coordinates.

Note

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

Examples

x <- data.frame(species = letters[1:10], 
                decimalLongitude = c(runif(106, -180, 180), NA, "13W33'", "67,09", 305), 
                decimalLatitude = runif(110, -90,90))
                
cc_val(x)
cc_val(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_zero()