[prev in list] [next in list] [prev in thread] [next in thread]
List: grass-stats
Subject: [GRASS-stats] Spatial autocorrelation of multi-spectral,
From: Nikos Alexandris <nik () nikosalexandris ! net>
Date: 2010-12-26 17:00:32
Message-ID: 201012261900.34694.nik () nikosalexandris ! net
[Download RAW message or body]
Greets to the statists,
I want to "describe" my multispectral (Landsat5_TM) composite datasets with
respect to their between vs. within heterogeneity. The idea is that a
unitemporal data set exhibits less between-axes than within-axes (spectral
bands) heterogeneity. The opposite "should" be in the case of a bi-temporal
dataset (in my case a pre-fire and a postfire), where the between-axes
(spectral bands) "should" be more contrasted.
I was looking for various multivariate tests but found nothing that works
globally on the images (i.e. without the necessity to work on samples/classes
extracted from the images), nothing that I can handle without the need to do
my homework for hours first, something easy to understand, estimate and
explain.
(I also asked in r-user but due to the nature of the question I guess it
correctly passed unanswered.)
A friend suggested spatial autocorrelation as an option (mentioned (also)
Moran's Index, Jaccart, MANOVA, Mixed effect model). I have a very basic
experience on autocorrelation (reading the book Applied Spatial Analysis with
R and having dome some exercises with a friend using climatic data). While I
am studying potential answers, I will be eXtremely grateful for any help,
advise, comment, hint on it (always doable within grass; R).
Milles mercis, Nikos.
_______________________________________________
grass-stats mailing list
grass-stats@lists.osgeo.org
http://lists.osgeo.org/mailman/listinfo/grass-stats
[prev in list] [next in list] [prev in thread] [next in thread]
Configure |
About |
News |
Add a list |
Sponsored by KoreLogic