| Window | R Documentation |
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 class 'ppp'
Window(X, ...)
## S3 replacement method for class 'ppp'
Window(X, ...) <- value
## S3 method for class 'quad'
Window(X, ...)
## S3 replacement method for class 'quad'
Window(X, ...) <- value
## S3 method for class 'psp'
Window(X, ...)
## S3 replacement method for class 'psp'
Window(X, ...) <- value
## S3 method for class 'im'
Window(X, ...)
## S3 replacement method for class 'im'
Window(X, ...) <- value
X |
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. |
value |
Another window (object of class |
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 quadrature scheme (object of class "quad")
then Window(X) <- W discards any points of X which
fall outside W, and discards the corresponding quadrature
weights.
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.tess.
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.
.
Window.ppm
## 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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