Dear list,
I `d appreciate your help. I have 2000 randomly distributed point data
with spatially autocorrelated attributes. The region is divided into
several zones (seamless). I need to evaluate whether the borders between
neigboring zones are relevant, i.e. whether there is a significant
difference between central values of the attributes in adjacent zones
(ANOVA problem, but samples are not independent). Polygonal declustering
is good to solve under/over sampled locations problem, but this does not
accounts for autocorrelation.
Correlation of spatially autocorrelated data has been discussed many
times, however I cannot find references on something like ANOVA of
autocorrelated data (autocorrelation within groups).
Any help appreciated, maybe also some references to relevant articles.
Thank`s a lot
Regards
Tomas
--
Dr. Tomáš Hlásny
National Forest Centre - Forest Research Institute
Department of Ecology and Biodiversity of Forest Ecosystems
T. G. Masaryka 22
960 92 Zvolen
phone: +421/45/532 03 16
fax: +421/45/531 41 92
NARODNE LESNICKE CENTRUM
http://www.nlcsk.org
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