columbus

col.gal.nb

coords

polys

<p>The data set is now part of the spData package</p>

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', 'APLE', 'Gearys C', 'Hubert/Mantel' general cross
product statistic, Empirical Bayes estimates and 'Assun<c3><a7><c3><a3>o/Reis' Index,
'Getis/Ord' G and multicoloured join count statistics, local 'Moran's I'
and 'Getis/Ord' G, 'saddlepoint' approximations, exact tests for global
and local 'Moran's I' and 'LOSH' local indicators of spatial heteroscedasticity;
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

Micah Altman

Luc Anselin

Renato Assun<c3><a7><c3><a3>o

Olaf Berke

Andrew Bernat

Guillaume Blanchet

Eric Blankmeyer

Marilia Carvalho

Bjarke Christensen

Yongwan Chun

Carsten Dormann

St<c3><a9>phane Dray

Virgilio G<c3><b3>mez-Rubio

Martin Gubri

Rein Halbersma

Elias Krainski

Pierre Legendre

Nicholas Lewin-Koh

Hongfei Li

Jielai Ma

Abhirup Mallik

Giovanni Millo

Werner Mueller

Hisaji Ono

Pedro Peres-Neto

Gianfranco Piras

Markus Reder

Michael Tiefelsdorf

Ren<c3><a9> Westerholt

Danlin Yu

columbus function

Columbus OH spatial analysis data set — columbus

Columbus OH spatial analysis data set

columbus: Columbus OH spatial analysis data set

Description

Usage

Arguments

Examples