R/Myrtaceae.R

In ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022)

#' Species richness of \emph{Myrtaceae} plants
#'
#' Data derived from NSW National Parks and Wildlife Service resources on species
#' richness for members of the  \emph{Myrtaceae} family (eucalypts and relates species)
#' in 1000 monitoring transects west of Sydney in the Greater Blue Mountains World
#' Heritage Area. Also included is soil type classified into 9 categories, and a few
#' climate variables derived from Worldclim.
#' 
#' @docType data
#'
#' @usage data(Myrtaceae)
#'
#' @format A dataframe containing (amongst other things):\describe{
#' \item{X}{Easting of the site (in km).}
#' \item{Y}{Nothing of the site (in km).}
#' \item{richness}{Total number of \emph{Mrtaceae} species observed at this site.}
#' \item{TMP_MAX}{Annual average of daily maximum temperature (degrees Celsius).} 
#' \item{TMP_MIN}{Annual average of daily minimum temperature (degrees Celsius).} 
#' \item{RAIN_ANN}{Annual precipitation (in millimetres).} 
#' \item{soil}{Soil type, classified into nine categories.} 
#' \item{aspect}{Aspect of the site (in degrees, 0=360=due North).} 
#' }
#'
#' @keywords datasets
#'
#' @examples
#' data(Myrtaceae)
#' library(ggplot2)
#' ggplot(Myrtaceae, aes(x=X, y=Y))+geom_point(aes(color=richness))+
#'   theme_classic()+xlab("West<-->East (km)")+ylab("South<-->North (km)")+
#'   scale_color_gradient(low="lightgreen",high="black")+
#'   labs(color="Species richness [log(y+1)-scale]")+theme(legend.position="top")+
#'   guides(color = guide_colorbar(title.position = "top",ticks=FALSE,
#'                                barwidth=15,barheight=0.5))+coord_fixed()
#'                                

"Myrtaceae"