columbus {spdep} | R Documentation

## 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

    data(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)
INC
  household income (in $1,000)
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

    columbus <- readShapePoly(system.file("etc/shapes/columbus.shp",
     package="spdep")[1])
    col.gal.nb <- read.gal(system.file("etc/weights/columbus.gal",
     package="spdep")[1])

[Package spdep version 0.4-56 Index]