nearest.raster.point(x,y,w, indices=TRUE)"owin")
of type "mask" representing a binary pixel image.indices=TRUE, a
list containing two vectors rr and cc
giving row and column positions (in the image matrix).
If indices=FALSE, a list containing
vectors x and y giving actual coordinates
of the pixels.w should be a window (an object of class
"owin", see owin.object for details)
of type "mask". This represents a binary pixel image. The arguments x and y should be numeric vectors
of equal length. They are interpreted as the coordinates of
points in space. For each point (x[i], y[i]), the function
finds the nearest pixel in the grid of pixels for w.
If indices=TRUE,
this function returns a list containing two vectors rr and
cc giving row and column positions (in the image matrix).
For the location (x[i],y[i]) the nearest
pixel is at row rr[i] and column cc[i] of
the image.
If indices=FALSE, the function returns a list containing
two vectors x and y giving the actual coordinates
of the pixels.
owin.object,
as.maskw <- owin(c(0,1), c(0,1), mask=matrix(TRUE, 100,100)) # 100 x 100 grid
nearest.raster.point(0.5, 0.3, w)
nearest.raster.point(0.5, 0.3, w, indices=FALSE)Run the code above in your browser using DataLab