properties: Dataset of properties in the municipality of Athens (sf)
In HSAR: Hierarchical Spatial Autoregressive Model

Description Usage Format See Also Examples

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.

1	data(properties)

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).

depmunic

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")