Earlier this week I posted a query about how to statistically identify and
test for significance of hot spots in space and time. Unfortunately I've
had to resubscribe to geostats as I've seen no traffic on the list for
several weeks now - including my own request. So if anyone replied
directly to the list, please could you re-send your reply (directly to me) as
this list isn't archived until the 15th. If anyone else fancies helping, then
your suggestions would be very welcome. Original message is below.
I had two direct responses - one promoting ISATIS, the other suggesting
spectral analysis. (Thanks). I will summarise further if any more
suggestions are forthcoming.
A colleague has some data on the presence of Tb in possums in NZ
forests. The possums were trapped along 10 irregular (not straight)
lines of 20 traps for 3 consecutive nights, each year for 5 years.
Therefore we have locations of possums with Tb and the location of
possums without Tb. What she would like to test statistically is
(1) whether there are 'hot spots' of Tb (ie Tb not distributed regularly or
(2) whether these 'hot spot' persist through time (years).
Suggestions are welcome as to what statistical test is appropriate and
what shareware software is available to help her with this analysis. She
has tried without success the sample disk that comes with the book
Interactive spatial data analysis / Trevor C. Bailey, Anthony C. Gatrell
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