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
  tesselations, for summarising these objects, and for permitting their
  use in spatial data analysis; a collection of tests for spatial
  autocorrelation, including global Moran's I, Geary's C, Hubert/Mantel
  general cross product statistic, Empirical Bayes estimates and Assun��o/Reis
  Index, Getis/Ord G and multicoloured join count statistics, 
  local Moran's I and Getis/Ord G, saddlepoint approximations for global
  and local Moran's I; and functions for estimating spatial simultaneous
  autoregressive (SAR) lag and error 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

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

columbus: Columbus OH spatial analysis data set

Description

Usage

Arguments

source

Details

Examples