library(terra)
e <- ext(179407.8, 181087.9, 331134.4, 332332.1)
lulc2010 <- rast(e, resolution=20)
lulc2010[] <- sample(1:5, ncell(lulc2010), replace=TRUE)
lulc2020 <- rast(e, resolution=20)
lulc2020[] <- sample(1:5, ncell(lulc2020), replace=TRUE)
( v = sort(unique(c(lulc2010[], lulc2020[]))) )
l = c("water","urban","forest",
"ag","barren")
cross.tab(lulc2010, lulc2020)
cross.tab(lulc2010, lulc2020, values = v, labs = l)
cross.tab(lulc2010, lulc2020, values = v, labs = l, pct=TRUE)
# Create asymmetrical classes
na.idx <- which(!is.na(lulc2010[]))
lulc2020[na.idx] <- sample(c(1,2,4,5), length(na.idx), replace=TRUE)
cross.tab(lulc2010, lulc2020, values = v, labs = l, pct=TRUE)
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