columbus

col.gal.nb

coords

polys


The <code>columbus</code> data frame has 49 rows and 22 columns.
Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data.
In addition the data set includes a <code>polylist</code> object <code>polys</code>
with the boundaries of the neighbourhoods, a matrix of polygon centroids
<code>coords</code>, and <code>col.gal.nb</code>, the neighbours list
from an original GAL-format file. The matrix <code>bbs</code> is DEPRECATED, but retained for other packages using this data set.


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 Moran's I, APLE, Geary's C, Hubert/Mantel general cross
product statistic, Empirical Bayes estimates and Assunção/Reis Index,
Getis/Ord G and multicoloured join count statistics, local Moran's I
and Getis/Ord G, saddlepoint approximations  and exact tests for global
and local Moran's I; and functions for estimating spatial simultaneous
autoregressive (SAR) lag and error models, impact measures for lag
models, weighted and unweighted SAR and CAR spatial regression models,
semi-parametric and Moran eigenvector spatial filtering, GM SAR error
models, and generalized spatial two stage least squares models.

Roger Bivand

spdep

Spatial Dependence: Weighting Schemes, Statistics and Models

columbus function

This data frame contains the following columns:
  <dl> </dl> 

Format

Anselin, Luc.  1988.  Spatial econometrics: methods and
models.  Dordrecht: Kluwer Academic, Table 12.1 p. 189.

columbus: Columbus OH spatial analysis data set

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