baltimore_home: Baltimore Home Sales 1970s

In spatialanalysis/geodaData: Spatial Analysis Datasets for Teaching

Description

This database contains house sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978.

Usage

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

Details

Sf object, projected, X,Y on Maryland grid, projection type unknown.

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.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(baltimore_home)

  plot(baltimore_home["AGE"])
}

spatialanalysis/geodaData documentation built on Oct. 6, 2020, 12:09 p.m.