Kulldorff's Spatial Scan Statistic


New Member

I have a semester project to develop a tool using Python which implements Kulldorff's algorithm and finds clusters in point (geo)data.

Currently it is a mess: I understand Kuldorff's algorithm upto the part before it dives into Bernoulli & Poisson. I imagine I have to call certain things from R. I have several disease & crime point shape files.

I am not able to start with the coding due insufficient understanding of all these aspects.

What are the reqiurements of the data, I mean what all attributes the points must have(population, time etc)?

How do I program a (Bernoulli/Poisson) statistical test (I have never done this, I dont have the sligtest clue)?

How to integrate python and R? Rpy2 is preferrable, I guess. But need help installing rpy2.

These are for starters. Indeed I am not being able to set my concept right and start work.

I am here to get better understanding of Kulldorff and how to program it. Please forgive me if this is too vague becasue it actually is.

Please help me.