highlight.borders

A K by K matrix, where K is the number of areas, containing 3 distinct values: 
NA for non-neighbouring areas; 0 for borders between neighbouring areas to be 
highlighted on a map; and 1 for borders between neighbouring areas not to be 
highlighted on a m

border.locations

The 'SpatialPolygonsDataFrame' object used for plotting the data and creating the 
original neighbourhood matrix W.

spdata

Creates a SpatialPoints object identifying a subset of borders between neighbouring
areas, which allows them to be overlayed on a map. An example is given in 
the vignette accompanying this package.

Implements a class of spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial, Gaussian or Poisson. The spatial autocorrelation is modelled by  a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available for the random effects, and full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development is supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.

highlight.borders: Creates a SpatialPoints object identifying a subset of borders between neighbouring areas.

Description

Usage

Arguments

Value

Examples