% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/urban_agglomerations.R
\docType{data}
\name{urban_agglomerations}
\alias{urban_agglomerations}
\title{Major urban areas worldwide}
\format{
Selected variables:
\itemize{
    \item{year} {Year of population estimate}
    \item{country_code} {Code of country}
    \item{urban_agglomeration} {Name of the urban agglomeration}
    \item{population_millions} {Estimated human population}
    \item{geometry} {sfc_POINT}
}
}
\usage{
urban_agglomerations
}
\description{
Dataset in a 'long' form from the United Nations
population division with projections up to 2050.
Includes only the top 30 largest areas by population at 5 year intervals.
}
\examples{
if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  plot(urban_agglomerations)
}
# Code used to download the data:
\dontrun{
f = "WUP2018-F11b-30_Largest_Cities_in_2018_by_time.xls"
download.file(
  destfile = f,
  url = paste0("https://population.un.org/wup/Download/Files/", f)
 )
library(dplyr)
library(sf)
urban_agglomerations = readxl::read_excel(f, skip = 16) \%>\%
    st_as_sf(coords = c("Longitude", "Latitude"), crs = 4326)
names(urban_agglomerations)
names(urban_agglomerations) <- gsub(" |\\\\n", "_", tolower(names(urban_agglomerations)) ) \%>\% 
        gsub("\\\\(|\\\\)", "", .)
names(urban_agglomerations)
urban_agglomerations
usethis::use_data(urban_agglomerations, overwrite = TRUE)
file.remove("WUP2018-F11b-30_Largest_Cities_in_2018_by_time.xls")
}
}
\keyword{datasets}
\keyword{sf}