View source: R/bdc_coordinates_country_inconsistent.R
bdc_coordinates_country_inconsistent | R Documentation |
This function flags geographic coordinates within a reference country. A spatial buffer can be added to the reference country to ensure that records in mangroves, marshes, estuaries, and records with low coordinate precision are not flagged as invalid.
bdc_coordinates_country_inconsistent(
data,
country_name,
country = "country_suggested",
lat = "decimalLatitude",
lon = "decimalLongitude",
dist = 0.1
)
data |
data.frame. Containing longitude and latitude. Coordinates must be expressed in decimal degrees and WGS84. |
country_name |
character string. Name of the country or countries to be considered. |
country |
character string. The column name with the country assignment of each record. It is recommended use a column with corrected and homogenized country names. Default = "country_suggested". |
lat |
character string. The column name with the latitude coordinates. Default = “decimallatitude”. |
lon |
character string. The column name with the longitude coordinates. Default = “decimallongitude”. |
dist |
numeric. The distance in decimal degrees used to created a buffer around the country. Default = 0.1 (~11 km at the equator). |
Multiple countries can be informed, but they are tested separately. The distance reported in the argument 'dist' is used to create a buffer around the reference country. Records within the reference country or at a specified distance from the coastline of the reference country (i.e., records within the buffer) are flagged as valid (TRUE). Note that records within the buffer but in other countries are flagged as invalid (FALSE). Records with invalid (e.g., NA or empty) and out-of-range coordinates are not tested and returned as TRUE.
A data.frame containing the column '.coordinates_country_inconsistent'. Compliant (TRUE) if coordinates fall within the boundaries plus a specified distance (if 'dist' is supplied) of 'country_name'; otherwise "FALSE".
Other prefilter:
bdc_basisOfRecords_notStandard()
,
bdc_coordinates_empty()
,
bdc_coordinates_from_locality()
,
bdc_coordinates_outOfRange()
,
bdc_coordinates_transposed()
,
bdc_country_standardized()
,
bdc_scientificName_empty()
## Not run:
x <- data.frame(
country = c("Brazil", "Brazil", "Bolivia", "Argentina", "Peru"),
decimalLongitude = c(-40.6003, -39.6, -77.689288, NA, -76.352930),
decimalLatitude = c(-19.9358, -13.016667, -20.5243, -35.345940, -11.851872)
)
bdc_coordinates_country_inconsistent(
data = x,
country_name = c("Brazil", "Peru", "Argentina"),
country = "country",
lon = "decimalLongitude",
lat = "decimalLatitude",
dist = 0.1
)
## End(Not run)
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