I know there is an R spatstat function to generate a ppp (Poisson Point Process), but I'm working in python, and I am not clear what spatstat.ppp is doing behind the scenes.
If I generate a an array of ordered pairs of random x's and random y's (within the spatial extent), will that be (or how will it differ from) a ppp? Should the x's and y's be chosen based on a Poisson distribution (np.random.poisson)?
I've read the spatstat documentation on ppp and the wikipedia pages on Poisson point process and Poisson distribution, but I just have no knack for statistics. Is it the number of events that is random? Or where they fall in space?
Thanks for any help you can give.
(ps -- this problem is entirely spatial, there is no time dimension.)