R: Columbus OH spatial analysis data set - old numbering

oldcol {spdep} | R Documentation

## Columbus OH spatial analysis data set - old numbering

### Description

The `COL.OLD` data frame has 49 rows and 22 columns. The observations are ordered and numbered as in the original analyses of the data set in the SpaceStat documentation and in Anselin, L. 1988 Spatial econometrics: methods and models, Dordrecht: Kluwer. Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data. In addition the data set includes `COL.nb`, the neighbours list as used in Anselin (1988).

### Usage

    data(oldcol)

### Format

This data frame contains the following columns:

AREA_PL

  computed by ArcView (agrees with areas of polygons in the “columbus” data set

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 plumbin

DISCBD

  distance to CBD

X

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

Y

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

AREA_SS

  neighborhood area (computed by SpaceStat)

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

PERIM

  polygon perimeter (computed by SpaceStat)

### Details

The row names of `COL.OLD` and the `region.id` attribute of `COL.nb` 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, https://spatial.uchicago.edu/sample-data.

### Source

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

[Package spdep version 1.2-2 Index]