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
UIUC-ACE Spatial Analysis Laboratory
Last updated June 16, 2003