rMaternII(kappa, r, win = owin(c(0,1),c(0,1)), stationary=TRUE)"owin"
    or something acceptable to as.owin.stationary=TRUE) or to generate the
    proposal points only inside the window (stationary=FALSE)."ppp").win.  The process is constructed by first
  generating a uniform Poisson point process of ``proposal'' points 
  with intensity kappa. If stationary = TRUE (the
  default), the proposal points are generated in a window larger than
  win that effectively means the proposals are stationary.
  If stationary=FALSE then the proposal points are
  only generated inside the window win.
  
  Then each proposal point is marked by an ``arrival time'', a number
  uniformly distributed in $[0,1]$ independently of other variables.
  
  A proposal point is deleted if it lies within r units' distance
  of another proposal point that has an earlier arrival time.
  Otherwise it is retained.
  The retained points constitute Mat'ern's Model II.
The difference between Mat'ern's Model I and II is the italicised statement above. Model II has a higher intensity for the same parameter values.
rpoispp,
rMatClust,
rMaternIX <- rMaternII(20, 0.05)
 Y <- rMaternII(20, 0.05, stationary=FALSE)Run the code above in your browser using DataLab