Small mod: the above works with version 1.3.4 or later of
spatial.tools (on R-forge, at the time of this email) -- if you are
using an earlier version (e.g. the one on CRAN at the time of this
email), you need to slightly modify the function headers to include
ellipses:
max_of_rasters <- function(
Just to throw yet another solution into the pot, here's how to do this
with rasterEngine (which will allow for parallel processing of your
input to potentially speed your process up):
# Individual rasters as inputs approach:
library(spatial.tools)
raster1 <- raster(system.file("external/tahoe_lida
Tanks a lot for your suggestions. maybe there will be a lot of different
ways to do that but merging your scripts I found exactly what I wanted to
do:
# beginning
library(raster)
r1 <- raster(matrix(c(1,1,1,2,2,2,4,4,4), ncol = 3))
r2 <- raster(matrix(c(2,2,2,3,3,3,1,1,1), ncol = 3))
r3 <- raster(
Hi Oscar,
Thanks for the reply. Unfortunately your example doesn't work for me. What
version of sp and lattice do you have installed?
Package: sp
Version: 1.0-14
Date: 2013-10-15
Package: lattice
Version: 0.20-15
Date: 2013/03/24
Mark
On 7 March 2014 16:25, Oscar Perpiñan wrote:
> Use group
You can use the calc function too, based on the same example Roman gave
library(raster)
set.seed(1)
r1 <- raster(matrix(runif(9), ncol = 3))
r2 <- raster(matrix(runif(9), ncol = 3))
r3 <- raster(matrix(runif(9), ncol = 3))
r <- stack(r1, r2, r3)
res1 <- calc(r, fun = max) ## maximum value of all
You mean something like this? Basically I just wrapped a function around
extract.
library(raster)
r1 <- raster(matrix(runif(9), ncol = 3))
r2 <- raster(matrix(runif(9), ncol = 3))
r3 <- raster(matrix(runif(9), ncol = 3))
r <- stack(r1, r2, r3)
cellvals <- extract(r, 3)
which(cellvals == max(cell
Hallo everybody.
Is there a way to see in a rasterstack with the raster package which layer
has the higer value for a selected pixel?
I have a rasterstack with 22 raster layers and I would like to have an
unique raster with, for each pixel, the maximum value of 22 rasters.
For example:
Pixel number
The error occurs when the internally used optim function tries a non-positive
range. You can either try to use different start values for your model or
provide boundary arguments as in optim to fit.StVariogram. These are passed on
to optim via ..., see the help page of optim for details. The dem
I am developing a tutorial on space-time geostatistics, expanding on the nice
st.pdf vignette. I can successfully fit a metric variogram model to an s-t
empirical variogram, but when I try to fit a separable model I get an error
which I can't solve nor interpret:
"Error in vgm(1 - par[4], as.ch
