combine.data.shapefile

A data frame containing the variables relating to the K areas you wish to map or 
model. The row names of this data frame must appear in the first column of the 
dbf file.

data

The .shp part of a shapefile containing the polygons for each of the K areas that
the data relate to.

The .dbf part of the shapefile containing a lookup table whose first column 
should inlcude the K row names of the data frame.

This function combines a data frame with a shapefile to create a SpatialPolygonsDataFrame
object from the `sp' package. The creation of this object allows the variables in
the data frame to be mapped using the `spplot()' function, and the neighbourhood
matrix W to be created using the `poly2nb' and `nb2mat' functions. An example is
given in the vignette accompanying this package. The mapping of the data to the 
shapefile is done by matching the rownames of the data frame to the first column
in the dbf file.

Implements a class of univariate and multivariate 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, multinomial, Poisson or zero-inflated Poisson (ZIP), and spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. A number of different models are available for univariate spatial data, including models with no random effects as well as random effects modelled by different types of CAR prior, including the BYM model (Besag et al. (1991) <doi:10.1007/BF00116466>), the Leroux model (Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>) and the localised model (Lee et al. (2015) <doi:10.1002/env.2348>). Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a two-level hierarchical model for modelling data relating to individuals within areas. 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 has been supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1 and the TB Alliance.

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combine.data.shapefile: Combines a data frame with a shapefile to create a SpatialPolygonsDataFrame object.

Description

Usage

Arguments

Value

Examples