#' @name get_worms_taxa_tree
#' @title Function for creating reference databases using API from World Register of Marine Species (WORMS)
#'
#' @description This function allows creating our custom reference database using API from World Register of Marine Species (WORMS).
#' @param x Vector contain your Taxa list.
#' @param ref_from_tree Create a reference database in the `biomonitoR` format. See [ref_from_tree].
#' @seealso [as_biomonitor]
#' @export
#' @examples
#' \dontrun{
#'
#' data(macro_ex)
#' dfref_worms <- get_worms_taxa_tree(macro_ex[, "Taxa"])
#' data_asb <- as_biomonitor(macro_ex, dfref = dfref_worms$taxonomy)
#' data_agg <- aggregate_taxa(data_asb)
#'
#' }
get_worms_taxa_tree <- function(x, ref_from_tree = FALSE) {
tax <- data.frame() # Create dataframe to store biomonitoR taxa
notFind <- data.frame() # Create dataframe to store not find taxa
synonym <- data.frame() # Create dataframe containing synonym names
multiple <- data.frame() # Create dataframe containing taxa with multiple matches (-999)
for (j in 1:length(x)) {
print(paste("----", j, "of", length(x), "----", x[j], "----"))
taxon <- gsub(" ", "%20", x[j])
url.aphia <- paste0("https://www.marinespecies.org/rest/AphiaIDByName/", taxon, "?marine_only=false")
aphia <- tryCatch(
{
"Try part: define the expression(s) you want to try"
fromJSON(file = url.aphia) # Retrieve Aphia
},
# Handler when an error occurs:
error = function(cond) {
# Choose a return value when such a type of condition occurs
return(NULL)
}
)
if (!is.null(aphia) && aphia != -999) {
# Retrieve basic information about the taxon
url.1 <- paste0("https://www.marinespecies.org/rest/AphiaRecordByAphiaID/", aphia)
content.1 <- fromJSON(file = url.1)
if (content.1$status != "accepted") {
key <- content.1$valid_AphiaID
# If content.1$status != "accepted" search the accepted name
url.2 <- paste0("https://www.marinespecies.org/rest/AphiaRecordByAphiaID/", key)
content.2 <- fromJSON(file = url.2)
synonym.1 <- data.frame(
synonym = x[j],
accepted = content.2$valid_name
)
synonym <- rbind(synonym.1, synonym)
} else {
# key <- content.1$AphiaID
content.2 <- content.1
}
taxa.bior <-
data.frame(
Phylum = only_char(om(content.2$phylum)),
Class = only_char(om(content.2$class)),
Subclass = NA,
Order = only_char(om(content.2$order)),
Family = only_char(om(content.2$family)),
Subfamily = NA,
Tribus = NA,
Genus = only_char(om(content.2$genus)),
Species = specieWorms(only_char(om(content.2$valid_name))),
Subspecies = if (countWords(only_char(om(content.2$valid_name))) == 3) {
content.2$valid_name
} else {
NA
},
Taxa = content.2$valid_name
)
tax <- rbind(tax, taxa.bior)
}
if (is.null(aphia)) {
notFind.1 <- data.frame(taxa = x[j])
notFind <- rbind(notFind, notFind.1)
}
if (!is.null(aphia) && aphia == -999) {
multiple.1 <- data.frame(taxa = x[j])
multiple <- rbind(multiple, multiple.1)
}
}
# Message
if (nrow(notFind) >= 1) {
print(paste("Taxa not found:", nrow(notFind)))
}
if (nrow(synonym) >= 1) {
print(paste("Synonym detected:", nrow(synonym)))
}
if (nrow(multiple) >= 1) {
print(paste("Taxa with multiple match detected:", nrow(multiple)))
}
if (isTRUE(ref_from_tree)) {
return(list(
taxonomy = ref_from_tree(tax[, 1:ncol(tax) - 1]),
notFindTaxa = notFind,
synonym = synonym,
multiMatch = multiple
))
} else {
return(list(
taxonomy = tax,
notFindTaxa = notFind,
synonym = synonym,
multiMatch = multiple
))
}
}
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