auckland {spData} | 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

    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

    if (requireNamespace("rgdal", quietly = TRUE)) {
      library(rgdal)
      auckland <- readOGR(system.file("shapes/auckland.shp", package="spData")[1])
      plot(auckland)
      if (requireNamespace("spdep", quietly = TRUE)) {
        library(spdep)
        auckland.nb <- poly2nb(auckland)
      }
    }

[Package spData version 0.3.0 Index]