# NOT RUN {
r <- rast(nrows=18, ncols=36, xmin=0)
r[1:2, 5:8] <- 1
r[5:8, 2:6] <- 1
r[7:12, 22:36] <- 1
r[15:16, 18:29] <- 1
p <- patches(r)
r <- rast(nrows=10, ncols=10, xmin=0)
r[] <- 0
r[3, 3] <- 10
r[4, 4] <- 10
r[5, 5:8] <- 12
r[6, 6:9] <- 12
# remove zeros if need be with zeroAsNA
p4 <- patches(r, zeroAsNA=TRUE)
p8 <- patches(r, 8, zeroAsNA=TRUE)
# patches for different values
# remove zeros
rr <- classify(r, cbind(0, NA))
# first make layers for each value
s <- segregate(rr, keep=TRUE, other=NA)
p <- patches(s)
# }
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