: Re: [R-sig-Geo] pca on raster layers with NA's
César, I think you can do princomp(na.omit(values(s)), cor=TRUE)
For large objects, also see the pca example in ?raster::predict
Robert
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: Tuesday, 23 July 2013, 19:53
Subject: Re: [R-sig-Geo] pca on raster layers with NA's
Hey Edward,
you may find this function useful.
https://github.com/environmentalinformatics-marburg/magic/blob/master/eot/src/EotDenoise.R
It is designed to 'denoise' raster data (i.e. calculate all possible
Dear all,
I have a set of 7 overlaying rasters for which I want to perform a principal
components analysis and subsequently extract the corresponding maps of the two
or three principal components (i.e. the scores).
I've been trying to do this for a while, but I keep getting stuck in the
Hey Edward,
you may find this function useful.
https://github.com/environmentalinformatics-marburg/magic/blob/master/eot/src/EotDenoise.R
It is designed to 'denoise' raster data (i.e. calculate all possible
PCAs and only keep the first k - an integer you specify - PCAs for
reconstruction).
César, I think you can do princomp(na.omit(values(s)), cor=TRUE)
For large objects, also see the pca example in ?raster::predict
Robert
On Tue, Jul 23, 2013 at 10:42 AM, César Capinha nrevist...@yahoo.co.uk wrote:
Dear all,
I have a set of 7 overlaying rasters for which I want to perform a
