R: Columbus OH spatial analysis data set

columbus {RgoogleMaps} | 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.

### Source

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

### Examples

    #library(maptools)
    #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 RgoogleMaps version 1.4.1 Index]