Identify Invalid lat/lon Coordinates
Removes or flags non-numeric and not available coordinates as well as lat >90, la <-90, lon > 180 and lon < -180 are flagged.
cc_val( x, lon = "decimallongitude", lat = "decimallatitude", 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”. |
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. |
This test is obligatory before running any further tests of CoordinateCleaner, as additional tests only run with valid coordinates.
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 = 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")
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