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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