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COL.OLD

Columbus OH spatial analysis data set - old numbering


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

data(oldcol)

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

Spatial Dependence: Weighting Schemes, Statistics

v1.1-11
GPL (>= 2)
Authors
Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Jeff Sauer [ctb], Michael Tiefelsdorf [ctb], René Westerholt [ctb], Levi Wolf [ctb], Danlin Yu [ctb]
Initial release
2021-09-07

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