Convert Data to a Function on a Linear Network
Convert some kind of data to an object of class "linfun"
representing a function on a linear network.
as.linfun(X, ...) ## S3 method for class 'linim' as.linfun(X, ...) ## S3 method for class 'lintess' as.linfun(X, ..., values=marks(X), navalue=NA)
X |
Some kind of data to be converted. |
... |
Other arguments passed to methods. |
values |
Optional. Vector of function values, one entry associated with each tile of the tessellation. |
navalue |
Optional. Function value associated with locations that do not belong to a tile of the tessellation. |
An object of class "linfun" represents
a function defined on a linear network.
The function as.linfun is generic. The method as.linfun.linim
converts objects of class "linim" (pixel images on a linear
network) to functions on the network.
The method as.linfun.lintess converts a tessellation
on a linear network into a function with a different value
on each tile of the tessellation.
The function values are specified by the argument values.
It should be a vector with one entry for each tile of the tessellation;
any point lying in tile number i will return the value v[i].
If values is missing, the marks of the tessellation
are taken as the function values.
If values is missing and the tessellation has no marks,
or if values is given as NULL,
then the function returns factor values identifying which tile
contains each given point.
Object of class "linfun".
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
X <- runiflpp(2, simplenet) Y <- runiflpp(5, simplenet) # image on network D <- density(Y, 0.1) f <- as.linfun(D) f f(X) # tessellation on network Z <- lineardirichlet(Y) g <- as.linfun(Z) g(X) h <- as.linfun(Z, values = runif(5)) h(X)
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