search for: rmatclust

...but I am not new to programming at all. I want to generate random clusters in a 1,000x1,000 box such that I end up with a total of about 2,000 points. Once done, I need to export the X,Y coordinates of the points. I have looked around, and it seems that the spatstat package has what I need. The rMatClust() function can generate random clusters, but I have run into some problems. First, I can't seem to specify that I want x number of points. So, right now it appears that if I want around 2,000 total points that I must play around with the parameters of the function (e.g., mean number of points...

Dear All, I was searching through the spatstat manual in order to find a function to simulate a Poisson pattern only within a fixed radius (circular moving window) around individual points. If points are distributed heterogeneously over a large area this may help to only assess deviation from CSR within the window and thus does not require additional information on a covariate. I could not find

I am trying to generate two dimensional random coordinates. For randomly distributed data I have simply used >xy<-cbind(runif(100),runif(100)) However I also want to generate coordinates that are more uniformly distributed, and coordinates that are more contagiously distributed than the above. Can anyone make any suggestions Thanks. Dr Terry Beutel Rangeland Scientist Animal

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the