spokes(x, y, nrad = 3, nper = 3, fctr = 1.5, Mdefault = 1)x and y, or a point pattern
    (an object of class ppp).x is a vector.fctr * M
    where M is the mean nearest neighbour distance
    for the data points.M to be used if x has length 1.x is a point pattern, a point pattern with
  window equal to that of x.  Otherwise a list with two
  components x and y.  In either case the components
  x and y of the value are numeric vectors giving
  the coordinates of the dummy points.quadscheme).  Given the data points, the function creates a collection of
  nrad * nper * length(x) dummy points.
  Around each data point (x[i],y[i]) there are
  nrad * nper dummy points, lying on nrad radii
  emanating from (x[i],y[i]), with nper dummy points
  equally spaced along each radius.
  The (equal) spacing of dummy points along each radius is
  controlled by the factor fctr. 
  The distance from a data point to the furthest of its associated
  dummy points is fctr * M
  where M is the mean nearest neighbour distance
  for the data points.
  If there is only one data point the nearest neighbour distance
  is infinite, so the value Mdefault will be used in place
  of M.
  If x is a point pattern, then the value returned is
  also a point pattern, which is clipped to the window
  of x.  Hence there may be fewer than
  nrad * nper * length(x) dummy points in the pattern
  returned.
quad.object,
  quadscheme,
  inside.owin,
  gridcentres,
  stratranddat <- runifrect(10)
  plot(dat)
  dum <- spokes(dat$x, dat$y)
  points(dum$x, dum$y, pch=".")
  Q <- quadscheme(dat, dum)Run the code above in your browser using DataLab