Dear all,
I would like to calculate the spatial mean and its standard error
(taking into account spatial autocorrelation) from a subset of data
stored in a RasterBrick (multi-layer raster) object (Package: raster). I
was browsing the web for quite a while. The only available R functions I
could find were in Package 'spcosa'. But these functions provide way
more functionality than I need, since they do spatial re-sampling, which
is not necessary in my case.
Does anybody know of any functions I could use?
Many thanks in advance, Christian
--
-----------------------------------------------
Oeschger Centre for Climate Change Research, Institute of Geography& Institute
of Plant Sciences
University of Bern
http://www.stomatocysts.unibe.ch/kamenik
mailto: christian.kame...@giub.unibe.ch
Postal address:
Dr. Christian Kamenik
Institute of Geography
Erlachstrasse 9a, Trakt 3
3012 Bern, Switzerland
Tel. +41 (0)31 631 5091
Fax +41 (0)31 631 43 38
_______________________________________________
R-sig-Geo mailing list
R-sig-Geo@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
