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 )
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 = 0.1. |
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. |
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”.
See https://ropensci.github.io/CoordinateCleaner/ for more details and tutorials.
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")
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