Merge the Update Georeferenced Occurrence Points back to the Main Data File.

Usage

ec_merge_corrected_coordinates(
  data_corrected,
  data,
  catalog = "cleaned_catalog",
  latitude = "decimalLatitude",
  longitude = "decimalLongitude",
  uncertainty_col = "coordinateUncertaintyInMeters"
)

Arguments

data_corrected: After assigning coordinate values using online georeference tools such as GeoLocate, upload the csv file back to R with the name call data_corrected, we hardcoded the field names as "corrected_longitude", "corrected_latitude" and "corrected_uncertainty" and "cleaned_catalog" for column names of data_corrected dataset" which will be merge with "decimalLongitude", "decimalLantitude", "coordinateUncertaintyInMeters" and "cleaned_catalog" of data table.
data: data table which needs to updated with the assign coordiantes
catalog: this is an important attribute to use matching the records back to the main data file.
latitude: default set to "decimalLatitude", this is a column name of data
longitude: default set to "decimalLongitude", this is a column name of data
uncertainty_col: this is a column name of data and default set to "coordinateUncertaintyInMeters"

Value

A data frame with updated coordinate information

Examples

data <- data.frame(
  species = "A",
  decimalLongitude = c(-120, -119.8, NA, NA),
  decimalLatitude = c(20, 34, NA, NA),
  cleaned_catalog = c("12345", "89888", "LACM8898", "SDNHM6767"),
  locality = c(NA, NA, "Los Angeles, CA", "San Pedro, CA"),
  coordinateUncertaintyInMeters = c(9999, NA, NA, NA)
)
data_corrected <- data.frame(
corrected_longitude = c(-120, -119.8, 118, 118.3),
 corrected_latitude = c(20, 34, 33, 32.9),
 cleaned_catalog = c("12345", "89888", "LACM8898", "SDNHM6767"),
 corrected_uncertainty = c(9999, NA, 5000, 1000)
)


data<- ec_merge_corrected_coordinates(data_corrected, data,
catalog = "cleaned_catalog",
latitude = "decimalLatitude",
longitude = "decimalLongitude",
uncertainty_col = "coordinateUncertaintyInMeters" )