Dear List,
This is rather a theoretical question, but I was wondering if someone on the
list can help me out.
I have a dataset where at each spatial location I have a binary sequence of
character presence/absence, so, for example at location A, I might have spatial
coordinates xA=2390 and yA=1200, and a binary vector cA=c(0,0,0,1,1,0,1,0). I'm
interested on evaluating the spatial structure of the binary vectors. The
traditional approach would be the mantel test, where I compare the spatial
distance matrix against the a binary distance matrix (e.g. Jaccard distance
matrix), and I obtain a p-value through permutation. That will give me the
correlation, but it won't give me structural properties that I'm interested in,
namely sill and range. The mantel correlogram would give me something similar,
but what I really would like to do is to fit a variogram model. Given that that
the empirical variogram is half the euclidean distance between values at two
points, can I use half the Jaccard distance
(http://en.wikipedia.org/wiki/Jaccard_index) instead?
Many Thanks,
Enrico
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