baltimore | R Documentation |
House sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978. X,Y on Maryland grid, projection type unknown.
baltimore
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
Prepared by Luc Anselin. Original data made available by Robin Dubin, Weatherhead School of Management, Case Western Research University, Cleveland, OH. http://sal.agecon.uiuc.edu/datasets/baltimore.zip
Dubin, Robin A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics 22(3), 433-452.
data(baltimore)
str(baltimore)
if (requireNamespace("sf", quietly = TRUE)) {
library(sf)
baltimore_sf <- baltimore %>% st_as_sf(., coords = c("X","Y"))
plot(baltimore_sf["PRICE"])
}
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