This dataset, `baltimore_pts`, is a data frame containing housing sales data and property characteristics for Baltimore, Maryland, in 1978. It has been widely used in spatial econometrics and hedonic regression studies. Each row corresponds to a house, including sale price, structural attributes, lot size, and geographic coordinates (X, Y) on the Maryland grid (projection type unknown).
data(baltimore_pts)A data frame with 211 observations and 17 variables:
Census tract station identifier (integer)
House sale price (numeric)
Number of rooms (numeric)
Dwelling type indicator (numeric)
Number of bathrooms (numeric)
Presence of patio (numeric indicator)
Presence of fireplace (numeric indicator)
Presence of air conditioning (numeric indicator)
Presence of basement (numeric indicator)
Number of stories (numeric)
Presence of garage (numeric indicator)
Age of the dwelling (numeric)
City/county indicator (numeric)
Lot size (numeric)
Interior square footage (numeric)
X coordinate (numeric)
Y coordinate (numeric)
The dataset consists of 211 observations (houses) and 17 variables.
The dataset name has been kept as `baltimore_pts` to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the `lightsf` package and assists users in identifying its specific characteristics. The original content has not been modified in any way.