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spatstat.data (version 3.1-2)

residualspaper: Data and Code From JRSS Discussion Paper on Residuals

Description

This dataset contains the point patterns used as examples in the paper of Baddeley et al (2005). [Figure 2 is already available in spatstat.data as the copper dataset.]

R code is also provided to reproduce all the Figures displayed in Baddeley et al (2005). The component plotfig is a function, which can be called with a numeric or character argument specifying the Figure or Figures that should be plotted. See the Examples.

Usage

data(residualspaper)

Arguments

Format

residualspaper is a list with the following components:

Fig1

The locations of Japanese pine seedlings and saplings from Figure 1 of the paper. A point pattern (object of class "ppp").

Fig3

The Chorley-Ribble data from Figure 3 of the paper. A list with three components, lung, larynx and incin. Each is a matrix with 2 columns giving the coordinates of the lung cancer cases, larynx cancer cases, and the incinerator, respectively. Coordinates are Eastings and Northings in km.

Fig4a

The synthetic dataset in Figure 4 (a) of the paper.

Fig4b

The synthetic dataset in Figure 4 (b) of the paper.

Fig4c

The synthetic dataset in Figure 4 (c) of the paper.

Fig11

The covariate displayed in Figure 11. A pixel image (object of class "im") whose pixel values are distances to the nearest line segment in the copper data.

plotfig

A function which will compute and plot any of the Figures from the paper. The argument of plotfig is either a numeric vector or a character vector, specifying the Figure or Figures to be plotted. See the Examples.

References

Baddeley, A., Turner, R., Moller, J. and Hazelton, M. (2005) Residual analysis for spatial point processes. Journal of the Royal Statistical Society, Series B 67, 617--666.

Examples

Run this code

if(FALSE) {
  data(residualspaper)
  
  if(require(spatstat.model)) {

  X <- residualspaper$Fig4a
  summary(X)
  plot(X)

  # reproduce all Figures
  residualspaper$plotfig()

  # reproduce Figures 1 to 10
  residualspaper$plotfig(1:10)

  # reproduce Figure 7 (a)
  residualspaper$plotfig("7a")
  }
}

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