I want to apply calculations (sum) on a raster stack (contains multiple layers) according to groups of another raster stack (the groups identification is variable from one pixel time-series to another). Here is my example:
library(raster)
#1. Create raster stack "values" (rs)
set.seed(193473)
r1 <- raster(nrows = 10, ncols = 10)
r2=r3=r4=r5=r6=r7=r8=r9=r10=r11=r12=r13=r1
r1[] <- rbinom(ncell(r1), 60, prob = .1)
r2[] <- rbinom(ncell(r1), 50, prob = .1)
r3[] <- rbinom(ncell(r1), 70, prob = .1)
r4[] <- rbinom(ncell(r1), 90, prob = .1)
r5[] <- rbinom(ncell(r1), 70, prob = .1)
r6[] <- rbinom(ncell(r1), 60, prob = .1)
r7[] <- rbinom(ncell(r1), 80, prob = .1)
r8[] <- rbinom(ncell(r1), 90, prob = .1)
r9[] <- rbinom(ncell(r1), 60, prob = .1)
r10[] <- rbinom(ncell(r1), 70, prob = .1)
r11[] <- rbinom(ncell(r1), 90, prob = .1)
r12[] <- rbinom(ncell(r1), 70, prob = .1)
r13[] <- rbinom(ncell(r1), 50, prob = .1)
rs <- stack(r1, r2, r3, r4,r5,r6,r7,r8,r9,r10,r11,r12,r13)
nlayers(rs)
plot(rs[[1]])
plot(rs)
#2, rs_flag
rc1=function(x1) {
ifelse(x1>7,1,0)
}
rs_flag=overlay(rs,fun=rc1)
nlayers(rs_flag)
plot(rs_flag)
#3, rs_id
rc3= function(x3) {
rep(seq(1,length(rle(x3)$lengths)), rle(x3)$lengths)
}
rs_id=overlay(rs_flag,fun=rc3)
plot(rs_id)
How to extract the max value of (rs) raster stack in each group of raster stack (rs_id) and replace the others value of the same group by this max value ?
I explain my problematic, see below an example of time series of one pixel :
#extract values of one pixel ex. (x,y)=(4,7)
rsp=rs[4,7]
rsp
#rsp_id
rsp_id=rs_id[4,7]
rsp_id
Extract max value of each group of stack raster (rs_id) and replace the others value of the same group by this max value.
#table preparation
tab1 <- t(rbind(rsp, rsp_id))
tab1
#rsp_max : max value of each group
library(dplyr)
tab2=tab1 %>%
group_by(rsp_id) %>%
mutate(rsp_max=max(rsp))
tab2
At the end I get the result below for one pixel (see table below)
My question : How to calculate "rs_max" (raster stack) applying the function above between two raster stack (rs and rs_id), using "group_by" and "max" inside a function
#I try this function but not work!! :
##4# rs_id
library(dplyr)
rc4= function(x,y) {
group_by(x) %>%
max(y)
}
#Error in (function (x, fun, filename = "", recycle = TRUE, forcefun = FALSE, :
#cannot use this formula, probably because it is not vectorized
Thank you in advance for your help !