Dear all,
I have two "nested" grids (SpatialGridDataFrame) looking like this:
prj <- "+proj=utm +zone=28 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"
gt1 <- GridTopology(c(5, 5), c(10, 10), c(100, 100))
gt2 <- GridTopology(c(50, 50), c(100, 100), c(10, 10))
band1 <- sample(c(0, 1), replace = TRUE, size = 10000)
sgdf1 <- SpatialGridDataFrame(gt1, data.frame(band1), CRS(prj))
sgdf2 <- SpatialGridDataFrame(gt2, data.frame(band1=rep(0, 100)), CRS(prj))
## Graphic display
spplot(sgdf1, scales = list(draw = TRUE),
panel = function(...){
panel.gridplot(...)
sp.grid(sgdf2, col = 0)
})
I want to compute the mean (and other statistics) of sgdf1 at data$band1
according to the cells defined in sgdf2. How can I do that ? I tried to
use overlay, without success:
> sgdf3 <- overlay(sgdf1, sgdf2, fn = mean)
> sgdf3 at data$band1
[1] 1 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 1 0 1 0 1 1 0 1 0 0 0 0
[31] 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 1 1 0 0
[61] 1 1 0 1 1 1 1 0 0 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0
[91] 1 0 1 1 1 0 1 0 1 0
All the best,
Renaud