R/properties.R

#' @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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spData documentation built on June 22, 2024, 10:29 a.m.