columbus {spData} | 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

    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

    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])
    }

[Package spData version 0.3.0 Index]