Robert,
Thanks for your input. Your suggestion is more suitable to my case, but it
takes almost one hour to sum a stack containing 46 satellite images. Please see
below:
> sclass : RasterStack dimensions : 5568, 8289, 46153152, 46 (nrow,
> ncol, ncell, nlayers)resolution : 0.00898,
You can also do
sos <- sum(s, na.rm=FALSE)
Best, Robert
On Sat, May 12, 2012 at 2:26 AM, Matteo Mattiuzzi <
matteo.mattiu...@boku.ac.at> wrote:
> Dear Thiago,
>
> is this what you need?
>
> library(raster)
> r <- raster()
> r[]<-1:ncell(r)
> r2 <- raster()
> r2[]<-ncell(r):1
> r <-brick(
Dear Thiago,
is this what you need?
library(raster)
r <- raster()
r[]<-1:ncell(r)
r2 <- raster()
r2[]<-ncell(r):1
r <-brick(r,r2)
plot(r)
sos <- calc(r,sum)
x11()
plot(sos)
Matteo
sos <- calc(r,sum)
plot(sos)
>>> Thiago Veloso 11.05.12 23.29 Uhr >>>
Dear R-colleagues,
I am trying t
