redwoodfull
represent the locations of 195 seedlings and saplings
of California redwood trees in a square sampling region.
They were described and analysed by Strauss (1975). Strauss divided the sampling region into two subregions I and II
demarcated by a diagonal line across the region. The dataset
redwoodfull.diag specifies this diagonal line,
and the datasets redwoodI and redwoodII
represent the point patterns in these two subregions.
Yet another subset of the full dataset, consisting of 62 points
in a square subregion, was extracted by Ripley (1977). It
has been re-analysed many times, and is the dataset usually known as
"the redwood data" in the spatial statistics literature.
That dataset is supplied in the spatstat
library as redwood.
data(redwoodfull)
plot(redwoodfull)
lines(redwood.diag)
plot(redwoodI)
plot(redwoodII)redwoodfull is an object of class "ppp"
representing the point pattern of tree locations.
The window has been rescaled to the unit square.
See ppp.object for details of the format of a
point pattern object. The datasets redwoodI and redwoodII are also objects of
class "ppp" representing the point patterns in regions I and II
respectively, on the same scale as redwoodfull.
The dataset redwoodfull.diag is a list with components
x and y giving the $x,y$ coordinates of the
two endpoints of the diagonal line separating regions I and II.
Its main use is in plotting the data.
Ripley, B.D. (1977) Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, Series B 39, 172--212.
Strauss, D.J. (1975) A model for clustering. Biometrika 63, 467--475.
redwood