columbus: Columbus Crime 1980

In spatialanalysis/geodaData: Spatial Analysis Datasets for Teaching

Description

Crime, housing and income data for 49 neighborhoods in Columbus, OH, 1980. Textbook example.

Usage

columbus

Format

An sf data frame with 49 rows, 20 variables, and a geometry column:

AREA

neighborhood area (computed by ArcView)

PERIMETER

neighborhood perimeter (computed by ArcView)

COLUMBUS

internal polygon ID (generated by ArcView)

COLUMBUS_I

internal polygon ID (geneated by ArcView)

POLYID

neighborhood ID, used in GeoDa User’s Guide and tutorials

NEIG

neighborhood ID, used in Spatial Econometrics examples

HOVAL

housing value (in $1,000)

INC

household income (in $1,000)

CRIME

residential burglaries and vehicle thefts per 1000 households

OPEN

open space (area)

PLUMB

percent housing units without plumbing

DISCBD

distance to CBD

X

centroid x coordinate (in arbitrary digitizing units)

Y

centroid y coordinate (in arbitrary digitizing units)

NSA

north-south indicator variable (North = 1)

NSB

other north-south indicator variable (North = 1)

EW

east-west indicator variable (East = 1)

CP

core-periphery indicator variable (Core = 1)

THOUS

constant (= 1000)

NEIGNO

another neighborhood ID variable (NEIG + 1000)

Details

Sf object, unprojected. EPSG 4326: WGS84.

Source

Anselin, Luc (1988). Spatial Econometrics. Boston, Kluwer Academic, Table 12.1, p. 189.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(columbus)

  plot(columbus["CRIME"])
}

spatialanalysis/geodaData documentation built on Oct. 6, 2020, 12:09 p.m.