#' AIS Biofouling to OBIS Occurence Darwin Core (DwC)
#'
#' @param file CSV formatted file created using \code{ais_all_presence}
#'
#' @return
#' @export
#'
#' @examples aisIndex_to_OBIS_occurenceCore("file.csv")
#'
#' @import readr
#' @import worrms
#' @import dplyr
#'
aisIndex_to_OBIS_occurenceCore <- function(file) {
unique_spp <- readr::read_csv(file) %>%
dplyr::select(species_name) %>%
dplyr::distinct()
worms <-
worrms::wm_records_taxamatch(name = unique_spp$species_name) %>%
dplyr::select(scientificname, lsid)
readr::read_csv(file) %>%
dplyr::left_join(worms, by = c("species_name" = "scientificname")) %>%
dplyr::mutate(
occurrenceID = paste0(.$year, "-", .$stn_num, "-", .$species_name),
eventDate = paste0(year, "-01-01") ,
occurrenceStatus = dplyr::case_when(
cover_index > 0 ~ "present",
cover_index == 0 ~ "absent",
TRUE ~ NA_character_
),
basisOfRecord = "HumanObservation"
) %>%
dplyr::select(
occurrenceID,
eventDate,
decimalLongitude = longitude,
decimalLatitude = latitude,
scientificName = species_name,
scientificNameID = lsid,
occurrenceStatus,
locationID = stn_num,
locationRemarks = stn_location,
basisOfRecord
)
}
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