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#' Gets TVKs for a group
#'
#' Given the name of a group (see \code{\link{listGroups}}) this function returns the pTVKs
#' (preferred taxon version keys) for all members of that group. This is currently restricted
#' to returning up to 5000 results.
#'
#' @export
#' @param name A string for a group on the NBN gateway (e.g. 'reptile')
#' @param ... Further named parameters passed on to \code{\link[httr]{GET}}
#' @return A vector of TVKs as characters.
#' @author Stuart Ball, JNCC \email{stuart.ball@@jncc.gov.uk}
#' @seealso \code{\link{getFeature}}, \code{\link{getOccurrences}}, \code{\link{getTVKQuery}}
#' @examples \dontrun{
#' t <- getGroupSpeciesTVKs('reptile')
#' }
#'
getGroupSpeciesTVKs<-function(name, ...){
groupID<-getGroupID(name)
json <- runnbnurl(service = "species",
group = groupID,
... = ...)
json<-json$results
if (length(json) > 0) {
## find the unique names that are used in occ
n <- unique(unlist(c(sapply(json, names))))
## dimension a matrix for the required number of rows and cols
d <- matrix(nrow=length(json), ncol=length(n),
dimnames=list(seq(1:length(json)),n))
## now we can go through the list and insert
## the values into the correct cells of the matrix
## This should be quick because the matrix is pre-allocated
for (i in 1:length(json)) {
for (j in 1:length(json[[i]])) {
k <- grep(names(json[[i]][j]),n)
d[i,k] <- json[[i]][[j]]
}
}
## cooerce the matrix to a data.frame
d <- as.data.frame(d)
## we are only interested in presences (not absences)
if ("absence" %in% colnames(d)) {
d <- d[which(d$absence == FALSE),]
}
return(as.character(d$ptaxonVersionKey))
}
}
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