I'm currently taking part in a "Data modeling" course. And for my final project, I need to make a research about "R-tree index for spatial searching". However, I'm not at all familiar with many concepts concerning the subject matter (spatial data, multi-dimentional data,...).So, I read the wiki and as I encountered new concepts, I tried to learn them on the way.
However, I don't think this top-down approach is a very efficient way to go about this. Thus, I'd really appreciate it if anybody can suggest a way/lists of things that I need to read up in advance, in order to understand R-tree, and hopefully make some kind of implementation out of it.
How to go about learning R-tree?
235 views Asked by Pepperoni Papaya At
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Start with the original paper and check out (shameless self promotion) a basic R-Tree implementation in Java.