oldcol

COL.OLD

COL.nb

The <code>COL.OLD</code> 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 <code>COL.nb</code>, the neighbours list
as used in Anselin (1988).

datasets

A collection of functions to create spatial weights matrix
objects from polygon 'contiguities', from point patterns by distance and
tessellations, for summarizing these objects, and for permitting their
use in spatial data analysis, including regional aggregation by minimum
spanning tree; a collection of tests for spatial 'autocorrelation',
including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord'
(1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel'
general cross product statistic, Empirical Bayes estimates and
'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992)
<doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured
join count statistics, 'APLE' ('Li 'et al.' )
<doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C'
('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and
'Getis/Ord' G ('Ord' and 'Getis' 1995)
<doi:10.1111/j.1538-4632.1995.tb00912.x>,
'saddlepoint' approximations ('Tiefelsdorf' 2002)
<doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests
for global and local 'Moran's I' ('Bivand et al.' 2009)
<doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators
of spatial heteroscedasticity ('Ord' and 'Getis')
<doi:10.1007/s00168-011-0492-y>. The implementation of most of
these measures is described in 'Bivand' and 'Wong' (2018)
<doi:10.1007/s11749-018-0599-x>, with further extensions in 'Bivand' (2022)
<doi:10.1111/gean.12319>. 'Lagrange' multiplier tests for spatial dependence
in linear models are provided ('Anselin et al'. 1996)
<doi:10.1016/0166-0462(95)02111-6>, as are 'Rao' score tests for hypothesised
spatial 'Durbin' models based on linear models ('Koley' and 'Bera' 2023)
<doi:10.1080/17421772.2023.2256810>.
From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions
previously present in this package are defunct in 'spdep' and may be found
in 'spatialreg'.

Roger Bivand

spdep

Spatial Dependence: Weighting Schemes, Statistics

Micah Altman

Luc Anselin

Renato Assunção

Anil Bera

Olaf Berke

F. Guillaume Blanchet

Marilia Carvalho

Bjarke Christensen

Yongwan Chun

Carsten Dormann

Stéphane Dray

Dewey Dunnington

Virgilio Gómez-Rubio

Malabika Koley

Tomasz Kossowski

Elias Krainski

Pierre Legendre

Nicholas Lewin-Koh

Angela Li

Giovanni Millo

Werner Mueller

Hisaji Ono

Josiah Parry

Pedro Peres-Neto

Michał Pietrzak

Gianfranco Piras

Markus Reder

Jeff Sauer

Michael Tiefelsdorf

René Westerholt

Justyna Wilk

Levi Wolf

Danlin Yu

oldcol function

This data frame contains the following columns:<dl>
 <dt>AREA_PL</dt>
<dd>computed by ArcView (agrees with areas of polygons in the &#8220;columbus&#8221; data set</dd> <dt>PERIMETER</dt>
<dd>computed by ArcView</dd> <dt>COLUMBUS.</dt>
<dd>internal polygon ID (ignore)</dd> <dt>COLUMBUS.I</dt>
<dd>another internal polygon ID (ignore)</dd> <dt>POLYID</dt>
<dd>yet another polygon ID</dd> <dt>NEIG</dt>
<dd>neighborhood id value (1-49);
 conforms to id value used in Spatial Econometrics book.</dd> <dt>HOVAL</dt>
<dd>housing value (in $1,000)</dd> <dt>INC</dt>
<dd>household income (in $1,000)</dd> <dt>CRIME</dt>
<dd>residential burglaries and vehicle thefts per thousand
 households in the neighborhood</dd> <dt>OPEN</dt>
<dd>open space in neighborhood</dd> <dt>PLUMB</dt>
<dd>percentage housing units without plumbin</dd> <dt>DISCBD</dt>
<dd>distance to CBD</dd> <dt>X</dt>
<dd>x coordinate (in arbitrary digitizing units, not polygon coordinates)</dd> <dt>Y</dt>
<dd>y coordinate (in arbitrary digitizing units, not polygon coordinates)</dd> <dt>AREA_SS</dt>
<dd>neighborhood area (computed by SpaceStat)</dd> <dt>NSA</dt>
<dd>north-south dummy (North=1)</dd> <dt>NSB</dt>
<dd>north-south dummy (North=1)</dd> <dt>EW</dt>
<dd>east-west dummy (East=1)</dd> <dt>CP</dt>
<dd>core-periphery dummy (Core=1)</dd> <dt>THOUS</dt>
<dd>constant=1,000</dd> <dt>NEIGNO</dt>
<dd>NEIG+1,000, alternative neighborhood id value</dd> <dt>PERIM</dt>
<dd>polygon perimeter (computed by SpaceStat)</dd> 
</dl>

Format

Columbus OH spatial analysis data set - old numbering — oldcol

This data frame contains the following columns:<dl>
 <dt>AREA_PL</dt>
<dd>computed by ArcView (agrees with areas of polygons in the &#8220;columbus&#8221; data set</dd>

 <dt>PERIMETER</dt>
<dd>computed by ArcView</dd>

 <dt>COLUMBUS.</dt>
<dd>internal polygon ID (ignore)</dd>

 <dt>COLUMBUS.I</dt>
<dd>another internal polygon ID (ignore)</dd>

 <dt>POLYID</dt>
<dd>yet another polygon ID</dd>

 <dt>NEIG</dt>
<dd>neighborhood id value (1-49);
 conforms to id value used in Spatial Econometrics book.</dd>

 <dt>HOVAL</dt>
<dd>housing value (in $1,000)</dd>

 <dt>INC</dt>
<dd>household income (in $1,000)</dd>

 <dt>CRIME</dt>
<dd>residential burglaries and vehicle thefts per thousand
 households in the neighborhood</dd>

 <dt>OPEN</dt>
<dd>open space in neighborhood</dd>

 <dt>PLUMB</dt>
<dd>percentage housing units without plumbin</dd>

 <dt>DISCBD</dt>
<dd>distance to CBD</dd>

 <dt>X</dt>
<dd>x coordinate (in arbitrary digitizing units, not polygon coordinates)</dd>

 <dt>Y</dt>
<dd>y coordinate (in arbitrary digitizing units, not polygon coordinates)</dd>

 <dt>AREA_SS</dt>
<dd>neighborhood area (computed by SpaceStat)</dd>

 <dt>NSA</dt>
<dd>north-south dummy (North=1)</dd>

 <dt>NSB</dt>
<dd>north-south dummy (North=1)</dd>

 <dt>EW</dt>
<dd>east-west dummy (East=1)</dd>

 <dt>CP</dt>
<dd>core-periphery dummy (Core=1)</dd>

 <dt>THOUS</dt>
<dd>constant=1,000</dd>

 <dt>NEIGNO</dt>
<dd>NEIG+1,000, alternative neighborhood id value</dd>

 <dt>PERIM</dt>
<dd>polygon perimeter (computed by SpaceStat)</dd>

 
</dl>

Columbus OH spatial analysis data set - old numbering

oldcol: Columbus OH spatial analysis data set - old numbering

Description

Usage

Arguments

Format

Details