Hi Everyone,
I have a spatial dataset (US Counties with basic Census attributes and an
attribute denoting whether or not the county has a flood protection levee)
and I used t.test to compare the means between the groups.
All of my variables show clustering and neighborhood effects. Is there a
t.test procedure that accounts for spatial correlation? Is this even
necessary?
I've looked through Applied Spatial Data Analysis with R along with many of
the tutorials and notes available online and I have not found any mention of
such a procedure. In Dalgaard (2008) I found the following statement about
the t.test: 'The t tests are fairly robust against departures from the
normal distribution' which seems to say that it is not necessary to account
for spatial effects. But, I wanted to see what people on the list thought
about that?
Thanks,
Ezra
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