R/data.seals.R

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

#' @name seals
#' @title Seal pups
#' @docType data
#' @description This is a single transect of an aereal photo seal pup survey in the Greenland Sea
#'
#' @usage data(seals_sp)
#'
#' @format The data contain these objects:
#'  \describe{
#'    \item{`points`:}{ A `SpatialPointsDataFrame` Center locations of the photos}
#'    \item{`mesh`:}{ An `fm_mesh_2d` enclosing the plane's transect}
#'    \item{`ice.data`:}{ An `SpatialPointsDataFrame` with MODIS ice concentration estimates}
#'    \item{`ice.cv`:}{ An `covdata` object with interpolated ice coverage data}
#'  }
#' @source
#' Martin Jullum \email{Martin.Jullum@@nr.no}
#'
#' @references
#' Oigard, T. A. (2013) From pup production to quotas: current status of harp seals in the Greenland Sea.
#' ICES Journal of Marine Science, doi.10.1093/icesjms/fst155.
#'
#' Oigard, T. A. (2014) Current status of hooded seals in the Greenland Sea. Victims of climate change and predation?,
#' Biological Conservation , 2014, 172, 29 - 36.
#'
#' @examples
#' if (require(ggplot2, quietly = TRUE)) {
#'   ggplot() +
#'     geom_fm(data = seals_sp$mesh) +
#'     gg(seals_sp$points)
#' }
"seals_sp"