If you’re an R user, you may want to check out the 2-part series at R-bloggers on visualizing spatiotemporal datasets.
There are many visual methods used to identify patterns in space and time. I’ve discussed some in prior threads and will show a few others briefly here. One of the most difficult questions I often hear from others regarding markov type approaches, is how to identify states to be processed.
It’s a pretty technical article full of some great information. I’ve never used R myself, but I can tell I’m going to have to learn.
