clean_coordinates {CoordinateCleaner} | R Documentation |

Cleaning geographic coordinates by multiple empirical tests to flag potentially erroneous coordinates, addressing issues common in biological collection databases.

clean_coordinates( x, lon = "decimallongitude", lat = "decimallatitude", species = "species", countries = NULL, tests = c("capitals", "centroids", "equal", "gbif", "institutions", "outliers", "seas", "zeros"), capitals_rad = 10000, centroids_rad = 1000, centroids_detail = "both", inst_rad = 100, outliers_method = "quantile", outliers_mtp = 5, outliers_td = 1000, outliers_size = 7, range_rad = 0, zeros_rad = 0.5, capitals_ref = NULL, centroids_ref = NULL, country_ref = NULL, country_refcol = "iso_a3", inst_ref = NULL, range_ref = NULL, seas_ref = NULL, seas_scale = 50, urban_ref = NULL, value = "spatialvalid", verbose = TRUE, report = FALSE )

`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` |
a character string. A vector of the same length as rows in x,
with the species identity for each record. If NULL, |

`countries` |
a character string. The column with the country assignment of each record in three letter ISO code. Default = “countrycode”. If missing, the countries test is skipped. |

`tests` |
a vector of character strings, indicating which tests to run. See details for all tests available. Default = c("capitals", "centroids", "equal", "gbif", "institutions", "outliers", "seas", "zeros") |

`capitals_rad` |
numeric. The radius around capital coordinates in meters. Default = 10000. |

`centroids_rad` |
numeric. The radius around centroid coordinates in meters. Default = 1000. |

`centroids_detail` |
a |

`inst_rad` |
numeric. The radius around biodiversity institutions coordinates in metres. Default = 100. |

`outliers_method` |
The method used for outlier testing. See details. |

`outliers_mtp` |
numeric. The multiplier for the interquartile range of
the outlier test. If NULL |

`outliers_td` |
numeric. The minimum distance of a record to all other records of a species to be identified as outlier, in km. Default = 1000. |

`outliers_size` |
numerical. The minimum number of records in a dataset to run the taxon-specific outlier test. Default = 7. |

`range_rad` |
buffer around natural ranges. Default = 0. |

`zeros_rad` |
numeric. The radius around 0/0 in degrees. Default = 0.5. |

`capitals_ref` |
a |

`centroids_ref` |
a |

`country_ref` |
a |

`country_refcol` |
the column name in the reference dataset, containing the relevant ISO codes for matching. Default is to "iso_a3_eh" which referes to the ISO-3 codes in the reference dataset. See notes. |

`inst_ref` |
a |

`range_ref` |
a |

`seas_ref` |
a |

`seas_scale` |
The scale of the default landmass reference. Must be one of 10, 50, 110. Higher numbers equal higher detail. Default = 50. |

`urban_ref` |
a |

`value` |
a character string defining the output value. See the value
section for details. one of ‘spatialvalid’, ‘summary’,
‘clean’. Default = ‘ |

`verbose` |
logical. If TRUE reports the name of the test and the number of records flagged. |

`report` |
logical or character. If TRUE a report file is written to the working directory, summarizing the cleaning results. If a character, the path to which the file should be written. Default = FALSE. |

The function needs all coordinates to be formally valid according to WGS84. If the data contains invalid coordinates, the function will stop and return a vector flagging the invalid records. TRUE = non-problematic coordinate, FALSE = potentially problematic coordinates.

capitals tests a radius around adm-0 capitals. The radius is

`capitals_rad`

.centroids tests a radius around country centroids. The radius is

`centroids_rad`

.countries tests if coordinates are from the country indicated in the country column.

*Switched off by default.*duplicates tests for duplicate records. This checks for identical coordinates or if a species vector is provided for identical coordinates within a species. All but the first records are flagged as duplicates.

*Switched off by default.*equal tests for equal absolute longitude and latitude.

gbif tests a one-degree radius around the GBIF headquarters in Copenhagen, Denmark.

institutions tests a radius around known biodiversity institutions from

`instiutions`

. The radius is`inst_rad`

.outliers tests each species for outlier records. Depending on the

`outliers_mtp`

and`outliers.td`

arguments either flags records that are a minimum distance away from all other records of this species (`outliers_td`

) or records that are outside a multiple of the interquartile range of minimum distances to the next neighbour of this species (`outliers_mtp`

). Three different methods are available for the outlier test: "If “outlier” a boxplot method is used and records are flagged as outliers if their*mean*distance to all other records of the same species is larger than mltpl * the interquartile range of the mean distance of all records of this species. If “mad” the median absolute deviation is used. In this case a record is flagged as outlier, if the*mean*distance to all other records of the same species is larger than the median of the mean distance of all points plus/minus the mad of the mean distances of all records of the species * mltpl. If “distance” records are flagged as outliers, if the*minimum*distance to the next record of the species is >`tdi`

.ranges tests if records fall within provided natural range polygons on a per species basis. See

`cc_iucn`

for details.seas tests if coordinates fall into the ocean.

urban tests if coordinates are from urban areas.

*Switched off by default*validity checks if coordinates correspond to a lat/lon coordinate reference system. This test is always on, since all records need to pass for any other test to run.

zeros tests for plain zeros, equal latitude and longitude and a radius around the point 0/0. The radius is

`zeros.rad`

.

Depending on the output argument:

- “spatialvalid”
an object of class

`spatialvalid`

similar to x with one column added for each test. TRUE = clean coordinate entry, FALSE = potentially problematic coordinate entries. The .summary column is FALSE if any test flagged the respective coordinate.- “flagged”
a logical vector with the same order as the input data summarizing the results of all test. TRUE = clean coordinate, FALSE = potentially problematic (= at least one test failed).

- “clean”
a

`data.frame`

similar to x with potentially problematic records removed

Always tests for coordinate validity: non-numeric or missing coordinates and coordinates exceeding the global extent (lon/lat, WGS84). See https://ropensci.github.io/CoordinateCleaner/ for more details and tutorials.

The country_refcol argument allows to adapt the function to the structure of
alternative reference datasets. For instance, for
`rnaturalearth::ne_countries(scale = "small")`

, the default will fail,
but country_refcol = "iso_a3" will work.

Other Wrapper functions:
`clean_dataset()`

,
`clean_fossils()`

exmpl <- data.frame(species = sample(letters, size = 250, replace = TRUE), decimallongitude = runif(250, min = 42, max = 51), decimallatitude = runif(250, min = -26, max = -11)) test <- clean_coordinates(x = exmpl, tests = c("equal")) ## Not run: #run more tests test <- clean_coordinates(x = exmpl, tests = c("capitals", "centroids","equal", "gbif", "institutions", "outliers", "seas", "zeros")) ## End(Not run) summary(test)

[Package *CoordinateCleaner* version 2.0-20 Index]