RgoogleMaps (version 1.2.0.7)

columbus: 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

Source

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

Details

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

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])