Nested Split
Applies two splitting operations to a point pattern, producing a list of lists of patterns.
nestsplit(X, ...)
X |
Point pattern to be split.
Object of class |
... |
Data determining the splitting factors or splitting regions. See Details. |
The arguments ... determine the two splitting factors
or splitting regions. Each argument may be:
a factor (of length equal to the number of points in X)
the name of a column of marks of X (provided this
column contains factor values)
a tessellation (class "tess")
a pixel image (class "im") with factor values
a window (class "owin")
identified by name (in the form name=value)
as one of the formal arguments of quadrats or
tess
The arguments will be processed to yield a list of two
splitting factors/tessellations. The splits will be applied
to X consecutively to produce the sub-sub-patterns.
A hyperframe with three columns. The first column contains the sub-sub-patterns. The second and third columns are factors which identify the grouping according to the two splitting factors.
Original idea by Ute Hahn. Code by Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
# factor and tessellation Nft <- nestsplit(amacrine, marks(amacrine), quadrats(amacrine, 3, 1)) Ntf <- nestsplit(amacrine, quadrats(amacrine, 3, 1), marks(amacrine)) Ntf # two factors big <- with(marks(betacells), area > 300) Nff <- nestsplit(betacells, "type", factor(big)) # two tessellations Tx <- quantess(redwood, "x", 4) Td <- dirichlet(runifrect(5, Window(redwood))) Ntt <- nestsplit(redwood, Td, Tx) Ntt2 <- nestsplit(redwood, Td, ny=3)
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