COL.OLD: Columbus OH spatial analysis data set - old numbering
In spdep: Spatial Dependence: Weighting Schemes, Statistics and Models
Description
Usage
Format
Details
Note
Source
Description
The COL.OLD data frame has 49 rows and 22 columns. The observations are
ordered and numbered as in the original analyses of the data set in the
SpaceStat documentation and in Anselin, L. 1988 Spatial econometrics: methods and models, Dordrecht: Kluwer.
Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data.
In addition the data set includes COL.nb, the neighbours list
as used in Anselin (1988).
Usage
1
Format
This data frame contains the following columns:
- AREA_PL
computed by ArcView (agrees with areas of polygons in the “columbus” data set
- 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 plumbin
- DISCBD
distance to CBD
- X
x coordinate (in arbitrary digitizing units, not polygon coordinates)
- Y
y coordinate (in arbitrary digitizing units, not polygon coordinates)
- AREA_SS
neighborhood area (computed by SpaceStat)
- 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
- PERIM
polygon perimeter (computed by SpaceStat)
Details
The row names of COL.OLD and the region.id attribute of
COL.nb 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, https://spatial.uchicago.edu/sample-data.
Source
Anselin, Luc. 1988. Spatial econometrics: methods and
models. Dordrecht: Kluwer Academic, Table 12.1 p. 189.
spdep documentation built on Aug. 19, 2017, 3:01 a.m.
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Description Usage Format Details Note Source
Description
The COL.OLD data frame has 49 rows and 22 columns. The observations are
ordered and numbered as in the original analyses of the data set in the
SpaceStat documentation and in Anselin, L. 1988 Spatial econometrics: methods and models, Dordrecht: Kluwer.
Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data.
In addition the data set includes COL.nb, the neighbours list
as used in Anselin (1988).
Usage
1 |
Format
This data frame contains the following columns:
- AREA_PL
computed by ArcView (agrees with areas of polygons in the “columbus” data set
- 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 plumbin
- DISCBD
distance to CBD
- X
x coordinate (in arbitrary digitizing units, not polygon coordinates)
- Y
y coordinate (in arbitrary digitizing units, not polygon coordinates)
- AREA_SS
neighborhood area (computed by SpaceStat)
- 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
- PERIM
polygon perimeter (computed by SpaceStat)
Details
The row names of COL.OLD and the region.id attribute of
COL.nb 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, https://spatial.uchicago.edu/sample-data.
Source
Anselin, Luc. 1988. Spatial econometrics: methods and models. Dordrecht: Kluwer Academic, Table 12.1 p. 189.
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