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Could any one tell me how to implement QuadTree in R? Or are there any packages avaialble to implement it in R. [[alternative HTML version deleted]]

Hi all, Say I have a matrix A with dimension m x 2 and matrix B with dimension n x 2. I would like to find the row in A that is closest to the each row in B. Here's an example (using a loop): set.seed(1) A <- matrix(runif(12), 6, 2) # 6 x 2 B <- matrix(runif(6), 3, 2) # 3 x 2 m <- vector("numeric", nrow(B)) for(j in 1:nrow(B)) { d <- (A[, 1] - B[j, 1])^2 + (A[,

...d dbf.write. Also there is a function to read ESRI shapefiles, which is stored as a map object. I am still developing the map object, at the moment it is far too bulky, and I think i could make it a lot more elegant using attributes. Suggestions would be very very welcome. I am planing to implement quadtree indexing, so that map objects can be used for spatial statistics (range searching for building connectivity matrices). One thing I noticed is that the polygon function cannot handle wierd cases such as holes, I can work on that if no one else is. Lastly there is ca color ramp function. I am planni...

In particular, if you want to add support, the right way to know what to rename is (off the top of my head) add a flag or something to have renamepass reset all uses it sees (you only have to change the uses, defs are all linked together and thus already fixed by the updater). Right now it only does that if they have no defining access. Make it skip blocks already in the visited set (the