R/data-largeplot.r

In biometrics: A Package for Biometrics and Modelling

#' Tree spatial coordinates in a large sample plot in Fennoscandia
#'
#' @description
#' Data from a large (8.8 ha) fully mapped plot in a Norway spruce (*Picea abies*)
#' dominated old-growth forest in the subarctic region of Fennoscandia.
#' @usage
#' data(largeplot)
#' @format Contains Cartesian position of trees and other variables in
#' a large sample plot, as follows:
#' \describe{
#'   \item{tree}{Tree ID.}
#'   \item{spp.code}{Species code as follows:
#'   1=Pinus sylvestris,2=Picea abies,3=Betula pubescens,
#'   5=Salix caprea, 8: Sorbus aucuparia.}
#' \item{x.coord}{Cartesian position in the X-axis, in m.}
#' \item{y.coord}{Cartesian position in the Y-axis, in m.}
#' \item{status}{Measurement year.}
#' \item{dbh}{Diameter at breast-height, in cm.}
#' \item{toth}{Total height, in m.}
#'  }
#' @source
#' Data were retrieved from the paper cited below, where several details
#' might be worth reading.
#' @references
#' - Pouta P, Kulha N, Kuuluvainen T, Aakala T. 2022. Partitioning of space
#' among trees in an old-growth spruce forest in subarctic Fennoscandia.
#' Frontiers in Forests and Global Change 5: 817248.
#'  \doi{https://doi.org/10.3389/ffgc.2022.817248}
#' @examples
#' data(largeplot)
#' head(largeplot)
#' df<-largeplot
#' pine <- df[df$spp.code==1,]
#' spruce <- df[df$spp.code==2,]
#' birch <- df[df$spp.code==3,]
#' plot(spruce$x.coord,spruce$y.coord,cex=(spruce$dbh)/30,col="blue")
#' points(birch$x.coord,birch$y.coord,cex=(birch$dbh)/30,col="green")
#' points(pine$x.coord,pine$y.coord,cex=(pine$dbh)/30,col="red")
"largeplot"