Hi

Are there any more efficient ways of calculating the neighbourhood object for large datasets?

I am trying to compute Moran I statistics for a very large data set (over 14,000 points).  I have been using moran.test from the spdep package and everything works fine for a small data set (200 points).  However, applying the same script to the whole dataset is taking days to compute (it so far has been going for 5 days and still no results).  This is no surprise due to the number of computations required.

I have found that calculating distances planar distances works much quicker but Great Circle distances are required.

Thanks

Gary Watmough


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