cc_zero {CoordinateCleaner} | R Documentation |
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")