This database contains house sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978.
baltimore_home
Format
An sf data frame with 211 rows, 18 variables, and a geometry column:
- STATION
ID variable
- PRICE
Sales price of house in $1,000 (MLS)
- NROOM
Number of rooms
- DWELL
1 if detached unit, 0 otherwise
- NBATH
Number of bathrooms
- PATIO
1 if patio, 0 otherwise
- FIREPL
1 if fireplace, 0 otherwise
- AC
1 if air conditioning, 0 otherwise
- BMENT
1 if basement, 0 otherwise
- NSTOR
Number of stores
- GAR
Number of car spaces in garage (0 = no garage)
- AGE
Age of dwelling in years
- CITCOU
1 if dwelling is in Baltimore County, 0 otherwise
- LOTSZ
Lot size in hundreds of square feet
- SQFT
Interior living space in hundreds of square feet
- X
X Coordinate on the Maryland grid
- Y
Y Coordinate on the Maryland grid
Source
Original data made available by Robin Dubin, Weatherhead School of Management, Case Western Research University, Cleveland, OH. Reference: Dubin, Robin A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics 22(3), 433-452.
Details
Sf object, projected, X,Y on Maryland grid, projection type unknown.
Examples
if (requireNamespace("sf", quietly = TRUE)) { library(sf) data(baltimore_home) plot(baltimore_home["AGE"]) }
