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data.R
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#' IUCN threat categories for 884 orchid species
#'
#' A dataset containing the International Union for the Conservation of Nature's
#' Global Red List conservation assessments for 884 species of orchids.
#'
#' @format A data frame with 889 rows and 2 variables:
#' \describe{
#' \item{species}{The canonical species name}
#' \item{labels}{The IUCN conservation assessment,
#' converted to numerical for use with IUCNN.
#' 0 = Critically Endangered (CR),
#' 1 = Endangered (EN),
#' 2 = Vulnerable (VU),
#' 3 = Near Threatened (NT),
#' 4 = Least Concern (LC)}
#' }
#' @source \url{https://www.iucnredlist.org/}
"training_labels"
#' Geographic Occurrence Records for Not Evaluated Orchids
#'
#' A dataset containing geo-referenced occurrences of 100 Orchid species without
#' existing IUCN Red List assessment ("Not Evaluated"). This is example data
#' to predict the IUCN status.
#'
#' @format A data frame with 14,900 rows and 3 variables:
#' \describe{
#' \item{species}{The canonical species name}
#' \item{decimallongitude}{longitudinal coordinates}
#' \item{decimallatitude}{latitudinal coordinates}
#' }
#' @source \url{https://www.gbif.org/}
"prediction_occ"
#' Geographic Occurrence Records for Orchids with IUCN assessment
#'
#' A dataset containing geo-referenced occurrences of 884 Orchid species with
#' existing IUCN Red List assessment ("CR", "EN", "VU", "NT", "LC").
#' This is example data to train an IUCNN model.
#'
#' @format A data frame with 125,412 rows and 3 variables:
#' \describe{
#' \item{species}{The canonical species name}
#' \item{decimallongitude}{longitudinal coordinates}
#' \item{decimallatitude}{latitudinal coordinates}
#' }
#' @source \url{https://www.gbif.org/}
"training_occ"