columbus {spData}

Columbus OH spatial analysis data set

Description

The columbus data frame has 49 rows and 22 columns. Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data. In addition the data set includes a polylist object polys with the boundaries of the neighbourhoods, a matrix of polygon centroids coords, and col.gal.nb, the neighbours list from an original GAL-format file. The matrix bbs is DEPRECATED, but retained for other packages using this data set.

Usage

columbus

Format

This data frame contains the following columns:

• AREA computed by ArcView

• PERIMETER computed by ArcView

• COLUMBUS_ internal polygon ID (ignore)

• COLUMBUS_I another internal polygon ID (ignore)

• POLYID yet another polygon ID

• NEIG neighborhood id value (1-49); conforms to id value used in Spatial Econometrics book.

• HOVAL housing value (in 1,000 USD)

• INC household income (in 1,000 USD)

• CRIME residential burglaries and vehicle thefts per thousand households in the neighborhood

• OPEN open space in neighborhood

• PLUMB percentage housing units without plumbing

• DISCBD distance to CBD

• X x coordinate (in arbitrary digitizing units, not polygon coordinates)

• Y y coordinate (in arbitrary digitizing units, not polygon coordinates)

• NSA north-south dummy (North=1)

• NSB north-south dummy (North=1)

• EW east-west dummy (East=1)

• CP core-periphery dummy (Core=1)

• THOUS constant=1,000

• NEIGNO NEIG+1,000, alternative neighborhood id value

Details

The row names of columbus and the region.id attribute of polys are set to columbus$NEIGNO.

Note

All source data files prepared by Luc Anselin, Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, http://sal.agecon.uiuc.edu/datasets/columbus.zip.

Source

Anselin, Luc. 1988. Spatial econometrics: methods and models. Dordrecht: Kluwer Academic, Table 12.1 p. 189.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sp)
  columbus <- sf::st_read(system.file("shapes/columbus.shp", package="spData")[1])
  columbus <- as(columbus, "Spatial")
  plot(columbus)
}

if (requireNamespace("spdep", quietly = TRUE)) {
  library(spdep)
  col.gal.nb <- read.gal(system.file("weights/columbus.gal", package="spData")[1])
}