Removes or flags coordinates outside the reference landmass. Can be used to restrict datasets to terrestrial taxa, or exclude records from the open ocean, when depending on the reference (see details). Often records of terrestrial taxa can be found in the open ocean, mostly due to switched latitude and longitude.
cc_sea(
x,
lon = "decimalLongitude",
lat = "decimalLatitude",
ref = NULL,
scale = 110,
value = "clean",
speedup = TRUE,
verbose = TRUE,
buffer = NULL
)
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”.
data.frame. Containing geographical coordinates and species names.
character string. The column with the longitude coordinates. Default = “decimalLongitude”.
character string. The column with the latitude coordinates. Default = “decimalLatitude”.
SpatVector (geometry: polygons). Providing the geographic gazetteer. Can be any SpatVector (geometry: polygons), but the structure must be identical to rnaturalearth::ne_download(scale = 110, type = 'land', category = 'physical', returnclass = 'sf'). Default = rnaturalearth::ne_download(scale = 110, type = 'land', category = 'physical', returnclass = 'sf').
the scale of the default reference, as downloaded from natural earth. Must be one of 10, 50, 110. Higher numbers equal higher detail. Default = 110.
character string. Defining the output value. See value.
logical. Using heuristic to speed up the analysis for large data sets with many records per location.
logical. If TRUE reports the name of the test and the number of records flagged.
numeric. Units are in meters. If provided, a buffer is created around the sea polygon, or ref provided.
In some cases flagging records close of the coastline is not recommendable,
because of the low precision of the reference dataset, minor GPS imprecision
or because a dataset might include coast or marshland species. If you only
want to flag records in the open ocean, consider using a buffered landmass
reference, e.g.: buffland
.
Other Coordinates:
cc_aohi()
,
cc_cap()
,
cc_cen()
,
cc_coun()
,
cc_dupl()
,
cc_equ()
,
cc_gbif()
,
cc_inst()
,
cc_iucn()
,
cc_outl()
,
cc_urb()
,
cc_val()
,
cc_zero()
x <- data.frame(species = letters[1:10],
decimalLongitude = runif(10, -30, 30),
decimalLatitude = runif(10, -30, 30))
cc_sea(x, value = "flagged")
Run the code above in your browser using DataLab