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.
id: An unique identifier for each property.
size : The size of the property (unit: square meters)
price : The asking price (unit: euros)
prpsqm : The asking price per squre meter (unit: euroes/square meter).
age : Age of property in 2017 (unit: years).
dist_metro: The distance to closest train/metro station (unit: meters).
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")
}
}
#> Warning: neighbour object has 2 sub-graphs