I have a multiband rasterbrick object and I am looking for an efficient solution to plot and save each of those separately in .jpg format. I cannot use spplot() or levelplot() because the object has 100 layers.
Currently I plan to write each of the layers as separate .tiff and use Arcgis to plot. Here is the layer I am working on.
You could write a function to save JPEG plots then use sapply
library(raster)
rand_raster <- function() {
r <- raster(nrows = 10, ncols = 10)
r[] <- runif(100)
r
}
s <- brick(rand_raster(), rand_raster(), rand_raster())
breaks <- seq(from = min(summary(s)["Min.", ]),
to = max(summary(s)["Max.", ]),
length.out = 5)
palette <- colorRampPalette(colors = c("blue", "red"))
cols <- palette(5)
raster_plot <- function(x, s) {
jpeg(filename = paste(names(s[[x]]), ".jpg"))
plot(s[[x]], breaks = breaks, col = cols)
dev.off()
}
sapply(1:nlayers(s), function(x) raster_plot(x, s))