Columbus
Data provided "as is," no warranties, from http://geoda.googlecode.com/svn/trunk/SampleData/Examples/columbus/shapefile/
Description

Crime data for 49 neighborhoods in Columbus, OH, 1980

Type = polygon shape file, projected, arbitrary units

Observations = 49

Variables = 20
Source

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

Prepared by Luc Anselin

UIUC-ACE Spatial Analysis Laboratory

Last updated June 16, 2003