Hi, It's best to keep all of the replies on the list - you will get better answers and leave a trail for others with similar questions to follow. If you need more help, I strongly suggest that you start a fresh question on r-sig-geo.
I suppose you could try the panel argument to levelplot(). Using the panel argument will modify each raster - that is each rendering of elements of your raster stack - by performing what ever task you put in the panel function. It's all a bit mysterious to me how it really works which is why I often gravitate toward the more obvious-to-me layering that the latticeExtra package provides with `levelplot(something) + layer(more stuff)`. library(rasterVis) library(sp) set.seed(10) x = runif(2000000, -0.0005, .9875) y = runif(2000000, -0.0008, .99) xmat = matrix(x, nrow = 500) ymat = matrix(x, nrow = 500) xras = raster(xmat) yras = raster(ymat) min_ = min(minValue(xras), minValue(yras)) max_ = max(maxValue(xras), maxValue(yras)) r.range = c(min_, max_) Poly <- as(raster::extent(xras) + c(.15, -.32, .25, -.10), "SpatialPolygons") levelplot(stack(xras, yras), col.regions = rev(rainbow(99, start=0, end=1)), colorkey = list(space = "bottom"), panel = function(...){ panel.levelplot(...) sp.polygons(Poly, col = 'black', lwd = 3) } ) Cheers, Ben > On Apr 11, 2019, at 11:50 AM, Kristi Glover <kristi.glo...@hotmail.com> wrote: > > Thank you Ben for the link. It has lots of the information. One of the > example bellow, here how can we overlay a polygon (let's say river map) on > the two raster images? The two raster images are of Maximum and Minimum > temperature of a specific area. > library(rasterVis) > > set.seed > (10) > > x > = runif(2000000, -0.0005, .9875) > > y > = runif(2000000, -0.0008, .99) > > xmat > = matrix(x, nrow = 500) > > ymat > = matrix(x, nrow = 500) > > xras > = raster(xmat) > > yras > = raster(ymat) > > min_ > = min(minValue(xras), minValue(yras)) > > max_ > = max(maxValue(xras), maxValue(yras)) > > r.range > = c(min_, max_) > > > levelplot > (stack(xras, yras), col.regions = rev(rainbow(99, start=0, end=1)), colorkey > = list(space = "bottom")) > thank you so much for your help. > > > > From: Ben Tupper <btup...@bigelow.org> > Sent: April 11, 2019 9:43 AM > To: Kristi Glover > Cc: r-help@r-project.org > Subject: Re: [R] How to overlay a vector map (polygon) on raster maps? > > Hi, > > That's great topic to search on RSeek.org > > https://rseek.org/?q=plot+multiple+rasters+with+one+legend > > or to pose a question about on r-sig-geo > > Cheers, > Ben > >> On Apr 11, 2019, at 11:32 AM, Kristi Glover <kristi.glo...@hotmail.com> >> wrote: >> >> Dear Ben, >> Thank you very much for the message. I run it and it produced three separate >> images with X and y Axis and a legend for each image. I was thinking to >> plot all of these three images with a single legend and only X axis value at >> the bottom's image and y values for each image. >> >> I added the following code on your code >> grid.arrange(PP[[1]],PP[[2]],PP[[3]]) >> >> But, as I mentioned above, I can get three separate images with its own >> legend and X and Y axix >> Thanks, >> >> From: Ben Tupper <btup...@bigelow.org> >> Sent: April 11, 2019 7:13 AM >> To: Kristi Glover >> Cc: r-help@r-project.org >> Subject: Re: [R] How to overlay a vector map (polygon) on raster maps? >> >> Hi, >> >> I think you want to build a levelplot object with polygon overlaid for each >> layer. Like the link below shows but with the added layer per your example. >> >> >> https://oscarperpinan.github.io/rastervis/FAQ.html#several_rasters >> >> Also, you will get bucket loads of spatial-centric help using the r-sig-geo >> mailing list; check it out >> herehttps://stat.ethz.ch/mailman/listinfo/r-sig-geo. >> >> Cheers, >> Ben >> >> ### START >> library(sp) >> library(raster) >> library(rasterVis) >> library(RColorBrewer) >> >> S <- raster::stack(system.file("external/rlogo.grd", package="raster")) >> >> # make a polygon by shrinking the extent and casting object type >> Poly <- as(raster::extent(S) + c(15, -32, 25, -10), "SpatialPolygons") >> >> # build the layers in a list, adding the polygon to each layer >> themes <- c("Reds", "Greens", "Blues") >> PP <- lapply(seq_len(nlayers(S)), >> function(i) { >> levelplot(S[[i]], >> par.settings = rasterVis::rasterTheme(region = >> RColorBrewer::brewer.pal(9, themes[i])), >> margin=FALSE) + >> layer(sp.polygons(Poly, col = "orange", lwd = 2)) >> } >> ) >> >> # print each layer, but specify the location within a layout scheme >> print(PP[[1]], split=c(1, 1, 1, 3), more = TRUE) >> print(PP[[2]], split=c(1, 2, 1, 3), more = TRUE) >> print(PP[[3]], split=c(1, 3, 1, 3), more = FALSE) >> ### END >> >> >> >> > On Apr 11, 2019, at 7:28 AM, Kristi Glover <kristi.glo...@hotmail.com> >> > wrote: >> > >> > He R users, >> > I have been struggling to plot a boundary map over the raster maps. I >> > tried using the following example, but the boundary map could not be >> > displayed over the three raster maps. >> > It works if we plot for a single raster. However when I want to plot the >> > three maps using "levelplot" and add the boundary map it did not work. I >> > wanted to plot three raster same time because the "levelplot" so that we >> > can compare the maps as they have only one legend. >> > >> > My example code is given below, do you have any suggestions? >> > >> > >> > library(gridExtra) >> > >> > library(raster) >> > >> > library(sp) >> > >> > library(rasterVis) >> > >> > library(rgdal) >> > >> > library(maptools) >> > >> > >> > boundary<- readShapeSpatial("boundrymap.shp") >> > >> > >> > minTemp<-raster("minTemp.tif") >> > >> > maxTemp<-raster("maxTemp.tif") >> > >> > averageTemp<-raster("averageTemp.tif") >> > >> > Temp<-stack(minTemp,maxTemp,averageTemp) >> > >> > >> > levelplot(Temp, layout=c(1,3))+ layer(sp.polygons(boundary, col = >> > "yellow")) >> > >> > thanks >> > >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. >> >> Ben Tupper >> Bigelow Laboratory for Ocean Sciences >> 60 Bigelow Drive, P.O. Box 380 >> East Boothbay, Maine 04544 >> http://www.bigelow.org >> >> Ecological Forecasting: https://eco.bigelow.org/ > > Ben Tupper > Bigelow Laboratory for Ocean Sciences > 60 Bigelow Drive, P.O. Box 380 > East Boothbay, Maine 04544 > http://www.bigelow.org > > Ecological Forecasting: https://eco.bigelow.org/ Ben Tupper Bigelow Laboratory for Ocean Sciences 60 Bigelow Drive, P.O. Box 380 East Boothbay, Maine 04544 http://www.bigelow.org Ecological Forecasting: https://eco.bigelow.org/ ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.