| residualspaper {spatstat.data} | R Documentation | 
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)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,larynxandincin. 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 thecopperdata.
- plotfig
- A function which will compute and plot any of the Figures from the paper. The argument of - plotfigis either a numeric vector or a character vector, specifying the Figure or Figures to be plotted. See the Examples.
Source
Figure 1: Prof M. Numata. Data kindly supplied by Professor Y. Ogata with kind permission of Prof M. Tanemura.
Figure 3: Professor P.J. Diggle (rescaled by Adrian Baddeley Adrian.Baddeley@curtin.edu.au)
Figure 4 (a,b,c): Adrian Baddeley Adrian.Baddeley@curtin.edu.au
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
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")
  }
}