scotlip: Lip Cancer in Scotland (1970s)

In spatialanalysis/geodaData: Spatial Analysis Datasets for Teaching

Description

Male lip cancer cases in Scottish districts 1975-80 and male population years at risk.

Usage

scotlip

Format

An sf data frame with 56 rows, 11 variables, and a geometry column:

CODENO

Code converted to numeric (drop w prefix)

AREA

Polygon area

PERIMETER

Polygon perimeter

RECORD_ID

Unique ID

DISTRICT

District number 1-56

NAME

Name of districts from Cressie (1993)

CODE

District code from WinBugs

CANCER

Lip cancer cases from Cressie (1993)

POP

Population years at risk from Cressie (1993)

CEXP

Expected cases from Lawson et al. (1999)

AFF

Outdoor industry from Lawson et al. (1999)

geometry

POLYGON

Details

Sf object, unprojected. EPSG 4326: WGS84.

Source

(1) Original from Clayton, D., and Kaldor, J. (1987). Empirical Bayes estimates of age standardised relative risks for use in disease mapping. Biometrics, 43,671-681, reproduced from Cressie, N. A. C. (1993). Statistics for Spatial Data. New York: John Wiley & Sons, p. 537 Table 7.2. (2) Expected cases and percent of population in outdoor industry AFF (agriculture, fishing, forestry) from Lawson et al. (1999). Disease Mapping and Risk Assessment for Public Health. New York: Wiley, pp. 68-69, Table 5.1. (3) Base map from Scotland.map included with WinBugs, exported to S-Plus format and edited (conversion to GeoDa input format, elimination of duplicate coordinates and editing of sliver polygons); islands with multiple polygons represented by a single polygon.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(scotlip)
  plot(scotlip["CANCER"])
}

spatialanalysis/geodaData documentation built on Oct. 6, 2020, 12:09 p.m.