Calculate the Hilbert value of a point for use in a Hilbert R-Tree?
data-structures, fractals
Solution
Fun question!
I did a bit of googling, and the good news is, I've found an implementation of Hilbert Value.
The potentially bad news is, it's in Haskell...
http://www.serpentine.com/blog/2007/01/11/two-dimensional-spatial-hashing-with-space-filling-curves/
It also proposes a Lebesgue distance metric you might be able to compute more easily.
Problem
I have an application where a Hilbert R-Tree (wikipedia) (citeseer) would seem to be an appropriate data structure. Specifically, it requires reasonably fast spatial queries over a data set that will experience a lot of updates. However, as far as I can see, none of the descriptions of the algorithms for this data structure even mention how to actually calculate the requisite Hilbert Value; which is the distance along a Hilbert Curve to the point. So any suggestions for how to go about calculating this?