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#' @name properties
#' @aliases properties
#' @title Dataset of properties in the municipality of Athens (sf)
#'
#' @description A dataset of apartments in the municipality of Athens for 2017. Point location of the properties is given together with their main characteristics and the distance to the closest metro/train station.
#'
#' @format An sf object of 1000 points with the following 6 variables.
#' \itemize{
#' \item{id: An unique identifier for each property.}
#' \item{size : The size of the property (unit: square meters)}
#' \item{price : The asking price (unit: euros) }
#' \item{prpsqm : The asking price per squre meter (unit: euroes/square meter).}
#' \item{age : Age of property in 2017 (unit: years).}
#' \item{dist_metro: The distance to closest train/metro station (unit: meters).}
#' }
#'
#' @docType data
#' @keywords datasets sf hierarchical spatial data
#' @seealso depmunic
#'
#' @examples
#' if (requireNamespace("sf", quietly = TRUE)) {
#' if (requireNamespace("spdep", quietly = TRUE)) {
#' library(sf)
#' library(spdep)
#'
#' data(properties)
#'
#' summary(properties$prpsqm)
#'
#' pr.nb.800 <- dnearneigh(properties, 0, 800)
#' pr.listw <- nb2listw(pr.nb.800)
#'
#' moran.test(properties$prpsqm, pr.listw)
#' moran.plot(properties$prpsqm, pr.listw, xlab = "Price/m^2", ylab = "Lagged")
#' }
#' }
"properties"
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