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Given a spatial object (such as a point pattern or pixel image) in two dimensions, these functions extract or change the window in which the object is defined.
Window(X, …) Window(X, …) <- value
# S3 method for ppp
Window(X, …)
# S3 method for ppp
Window(X, …) <- value
# S3 method for psp
Window(X, …)
# S3 method for psp
Window(X, …) <- value
# S3 method for im
Window(X, …)
# S3 method for im
Window(X, …) <- value
A spatial object such as a point pattern, line segment pattern or pixel image.
Extra arguments. They are ignored by all the methods listed here.
Another window (object of class "owin") to be used as the
window for X.
The result of Window is a window (object of class
"owin").
The result of Window<- is the updated object X,
of the same class as X.
The functions Window and Window<- are generic.
Window(X) extracts the spatial window in which X is
defined.
Window(X) <- W changes the window in which X is defined
to the new window W, and discards any data outside W.
In particular:
If X is a point pattern (object of class "ppp")
then Window(X) <- W discards any points of X which
fall outside W.
If X is a line segment pattern (object of class
"psp") then Window(X) <- W clips the segments of X
to the boundaries of W.
If X is a pixel image (object of class "im")
then Window(X) <- W has the effect that pixels
lying outside W are retained but their pixel values
are set to NA.
Many other classes of spatial object have a method
for Window, but not Window<-.
See Window.ppm.
# NOT RUN {
## point patterns
Window(cells)
X <- demopat
Window(X)
Window(X) <- as.rectangle(Window(X))
## line segment patterns
X <- psp(runif(10), runif(10), runif(10), runif(10), window=owin())
Window(X)
Window(X) <- square(0.5)
## images
Z <- setcov(owin())
Window(Z)
Window(Z) <- square(0.5)
# }
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