R/ETP_Dolphin.R

#' Eastern Tropical Pacific spotted dolphin survey
#'
#' Observers aboard tuna vessels detecting dolphin schools along with a number
#' of possibly useful covariates for modelling the detection function.
#'
#'
#' @name ETP_Dolphin
#' @aliases ETP_Dolphin_units
#' @docType data
#' @format A data frame with 1090 rows and 13 variables.
#'   \tabular{ll}{  
#'     \code{Region.Label} \tab stratum labels (only one)\cr
#'     \code{Area} \tab size (nmi) of each stratum \cr
#'     \code{Sample.Label} \tab transect labels \cr
#'     \code{Effort} \tab transect length (nmi) \cr
#'     \code{object} \tab object ID \cr
#'     \code{distance} \tab perpendicular distance (nmi) \cr
#'     \code{LnCluster} \tab natural log of cluster size \cr
#'     \code{Month} \tab month of detection \cr
#'     \code{Beauf.class} \tab Beaufort sea state \cr
#'     \code{Cue.type} \tab initial cue triggering detection \cr
#'     \code{Search.method} \tab observer method making the detection \cr
#'     \code{size} \tab cluster size \cr
#'     \code{Study.Area} \tab study area name \cr
#'   }
#' @keywords datasets
#' @source Inter-American Tropical Tuna Commission
#' @note Several different search methods included in these data
#'   \tabular{ll}{
#'   \code{0} \tab binoculars from crows nest \cr
#'   \code{2} \tab binoculars from elsewhere on ship \cr
#'   \code{3} \tab helicopter searching ahead of ship \cr
#'   \code{5} \tab radar detects of seabirds above dolphin schools \cr
#'   }
#' @seealso Several cue types were also recorded by observers.
#'   \tabular{ll}{
#'   \code{1} \tab seabirds above the school \cr
#'   \code{2} \tab water splashes \cr
#'   \code{3} \tab unspecified \cr
#'   \code{4} \tab floating objects such as logs \cr
#'   }
NULL
DistanceDevelopment/dsdata documentation built on July 29, 2020, 11 p.m.