baltimore {spData} | R Documentation

## House sales prices, Baltimore, MD 1978

### Description

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

### Usage

    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. http://sal.agecon.uiuc.edu/datasets/baltimore.zip

### References

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

### Examples

    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"])
    }

[Package spData version 0.2.9.0 Index]