Crime data for 49 neighborhoods in Columbus, OH, 1980
Type = polygon shape file, projected, arbitrary units
Observations = 49
Variables = 20
Anselin, Luc (1988). Spatial Econometrics. Boston, Kluwer Academic, Table 12.1, p. 189.
|
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.
Last updated June 16, 2003