Identify Coordinates in Vicinity of Country and Province Centroids

Removes or flags records within a radius around the geographic centroids of political countries and provinces. Poorly geo-referenced occurrence records in biological databases are often erroneously geo-referenced to centroids.

cc_cen(x, lon = "decimallongitude", lat = "decimallatitude",
  species = "species", buffer = 1000, geod = TRUE, test = "both",
  ref = NULL, verify = FALSE, 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”.
species	character string. The column with the species identity. Only required if verify = TRUE.
buffer	numerical. The buffer around each province or country centroid, where records should be flagged as problematic. Units depend on geod. Default = 1 kilometer.
geod	logical. If TRUE the radius around each capital is calculated based on a sphere, buffer is in meters and independent of latitude. If FALSE the radius is calculated assuming planar coordinates and varies slightly with latitude, in this case buffer is in degrees. Default = TRUE. See https://seethedatablog.wordpress.com/ for detail and credits.
test	a character string. Specifying the details of the test. One of c(“both”, “country”, “provinces”). If both tests for country and province centroids.
ref	SpatialPointsDataFrame. Providing the geographic gazetteer. Can be any SpatialPointsDataFrame, but the structure must be identical to countryref. Default = countryref.
verify	logical. If TRUE records are only flagged if they are the only record in a given species flagged close to a given reference. If FALSE, the distance is the only criterion
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_cap, cc_coun, cc_dupl, cc_equ, cc_gbif, cc_inst, cc_iucn, cc_outl, cc_sea, cc_urb, cc_val, cc_zero

Examples

x <- data.frame(species = letters[1:10],
                decimallongitude = runif(100, -180, 180),
                decimallatitude = runif(100, -90,90))

cc_cen(x, geod = FALSE)
#> Testing country centroids
#> Warning: Spatial object is not projected; GEOS expects planar coordinates
#> Removed 100 records.
#> [1] species          decimallongitude decimallatitude 
#> <0 rows> (or 0-length row.names)

# NOT RUN {
#' cc_inst(x, value = "flagged", buffer = 50000) #geod = T
# }