R/world.R

#' @name world
#' @aliases wrld
#' @title World country polygons
#'
#' @description The object loaded is a \code{sf} object containing a world map data from Natural Earth with a few variables from World Bank
#' 
#' @format Formal class 'sf' [package "sf"]; the data contains a data.frame with 177 obs. of 11 variables:
#' \itemize{
#'     \item{iso_a2} {character vector of ISO 2 character country codes}
#'     \item{name_long} {character vector of country names}
#'     \item{continent} {character vector of continent names}
#'     \item{region_un} {character vector of region names}
#'     \item{subregion} {character vector of subregion names}
#'     \item{type} {character vector of type names}
#'     \item{area_km2} {integer vector of area values}
#'     \item{pop} {integer vector of population in 2014}
#'     \item{lifeExp} {integer vector of life expectancy at birth in 2014}
#'     \item{gdpPercap} {integer vector of per-capita GDP in 2014}
#'     \item{geom} {sfc_MULTIPOLYGON}
#' }
#' The object is in geographical coordinates using the WGS84 datum.
#' 
#' @seealso 
#' See the rnaturalearth package: https://cran.r-project.org/package=rnaturalearth
#' 
#' @source \url{https://www.naturalearthdata.com/}
#' @source \url{https://data.worldbank.org/}
#' @docType data
#' @keywords datasets sf
#' @examples 
#' if (requireNamespace("sf", quietly = TRUE)) {
#'   library(sf)
#'   data(world)
#'   # or
#'   world <- st_read(system.file("shapes/world.gpkg", package="spData"))
#' 
#'   plot(world)
#' }
"world"
Nowosad/spData documentation built on July 7, 2023, 4:32 a.m.