huddersfield

Prevalence of respiratory symptoms in 71 school catchment areas in Huddersfield, Northern England

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

huddersfield function

Martuzzi M, Elliott P (1996) Empirical Bayes estimation of small area prevalence of non-rare conditions, Statistics in Medicine 15, 1867--1873, pp. 1870--1871.

huddersfield: Prevalence of respiratory symptoms

Description

Usage

Arguments

source

Examples