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gridded time series analysis

Martin 
this is what I did to perform a regression between two bricks (each brick
represent a time series):

r <- raster(brick1)
for (i in 1:ncell(r)) { 
r[i] = lm(as.ts(cellValues(brick1, i)) ~ as.ts(cellValues(brick2,
i)))$coefficients[2]
}

The result will be a slope raster, but it really takes a lot of time, so
maybe there is a better solution..

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Advait Godbole gridded time series analysis Nov 25 Martin gridded time series analysis Nov 26 steven mosher gridded time series analysis Nov 26 Jacob van Etten gridded time series analysis Nov 26 Robert J. Hijmans gridded time series analysis Nov 26 Robert J. Hijmans gridded time series analysis Nov 26 Advait Godbole gridded time series analysis Nov 27 Robert J. Hijmans gridded time series analysis Nov 27 Martin gridded time series analysis Nov 28 Robert J. Hijmans gridded time series analysis Nov 28 Martin gridded time series analysis Nov 29 Martin gridded time series analysis Nov 29 Advait Godbole gridded time series analysis Nov 29 Robert J. Hijmans gridded time series analysis Nov 29 Robert J. Hijmans gridded time series analysis Nov 29 Advait Godbole gridded time series analysis Nov 30 Robert J. Hijmans gridded time series analysis Nov 30