auckland {spdep} | R Documentation

## Marshall's infant mortality in Auckland dataset

### Description

(Use `example(auckland)` to load the data from shapefile and generate neighbour list on the fly).

The `auckland` data frame has 167 rows (census area units — CAU) and 4 columns. The dataset also includes the "nb" object `auckland.nb` of neighbour relations based on contiguity, and the "polylist" object `auckpolys` of polygon boundaries for the CAU. The `auckland` data frame includes the following columns:

### Usage

    data(auckland)

### Format

This data frame contains the following columns:

Easting
  a numeric vector of x coordinates in an unknown spatial reference system
Northing
  a numeric vector of y coordinates in an unknown spatial reference system
M77_85
  a numeric vector of counts of infant (under 5 years of age) deaths in Auckland, 1977-1985
Und5_81
  a numeric vector of population under 5 years of age at the 1981 Census

### Details

The contiguous neighbours object does not completely replicate results in the sources, and was reconstructed from `auckpolys`; examination of figures in the sources suggests that there are differences in detail, although probably not in substance.

### Source

Marshall R M (1991) Mapping disease and mortality rates using Empirical Bayes Estimators, Applied Statistics, 40, 283–294; Bailey T, Gatrell A (1995) Interactive Spatial Data Analysis, Harlow: Longman — INFOMAP data set used with permission.

### Examples

    auckland <- readShapePoly(system.file("etc/shapes/auckland.shp",
     package="spdep")[1])
    auckland.nb <- poly2nb(auckland)

[Package spdep version 0.4-56 Index]