search for: tussock

I using oldlogspline (from logspline package) to model data distributions, and having a problem. My data are search area sizes. They are based on circular search radii from random points to the nearest edge of the nearest grass tussock. Search area sizes are distributed from 0 (the random point intercepts a tussock) and upwards (as points are further from any tussocks). The density of all my distributions (using doldlogspline) are highest at size=0, and decline as search area increases. I am most interested in the probability of...

I'm wondering if anyone is aware of a way to take what is visible in the R graphics window, pixelate it, and express that pixellation in a numeric matrix. For example, I am using the following command to create a black (present) and white (absent) spatial simulation of grass tussock distribution. > symbols(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30, inches=F,bg=1,xlim=c(0,1),ylim=c(0,1)) What I would like to end up with is a 2 dimensional matrix that indicates presence/absence of grass in any given pixel as per the image generated from the above graph...