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Running huge dataset with dnearneigh

I have had good results using the rtree package to compute nearest
neighbors. It is very fast with relatively low memory requirements. I have
not tried it with so many points but it works well up to 10,000 or so. If I
understand the dnearneigh docs, the rtree::withinDistance function is
similar.
https://github.com/hunzikp/rtree

Kent Johnson
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