spData (version 0.3.8)

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

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.

Examples

# NOT RUN {
if (requireNamespace("rgdal", quietly = TRUE)) {
  library(rgdal)
  columbus <- readOGR(system.file("shapes/columbus.shp", package="spData")[1])
  plot(columbus)
}

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