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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