baltimore: House sales prices, Baltimore, MD 1978

In spdep: Spatial Dependence: Weighting Schemes, Statistics and Models

Description

House sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978. X,Y on Maryland grid, projection type unknown.

Usage

data(baltimore)

Format

A data frame with 211 observations on the following 17 variables.

STATION

a numeric vector

PRICE

a numeric vector

NROOM

a numeric vector

DWELL

a numeric vector

NBATH

a numeric vector

PATIO

a numeric vector

FIREPL

a numeric vector

AC

a numeric vector

BMENT

a numeric vector

NSTOR

a numeric vector

GAR

a numeric vector

AGE

a numeric vector

CITCOU

a numeric vector

LOTSZ

a numeric vector

SQFT

a numeric vector

X

a numeric vector

Y

a numeric vector

Source

Prepared by Luc Anselin. Original data made available by Robin Dubin, Weatherhead School of Management, Case Western Research University, Cleveland, OH. https://spatial.uchicago.edu/sample-data

References

Dubin, Robin A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics 22(3), 433-452.

Examples

data(baltimore)
## maybe str(baltimore) ; plot(baltimore) ...

Example output

Loading required package: sp
Loading required package: spData
To access larger datasets in this package, install the spDataLarge
package with: `install.packages('spDataLarge',
repos='https://nowosad.github.io/drat/', type='source')`
Loading required package: sf
Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1

spdep documentation built on Aug. 19, 2017, 3:01 a.m.