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# R code to plot latitudinal profiles of mean slope, comparing fused layers
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# with both the raw ASTER. I did not include the comparison of both RMSE
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# and correlation coefficients,which Jim included in his analysis.
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#
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# The results (plots) are saved at
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# "/data/project/organisms/DEM?Yuni/documents/slope"
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#
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# Original author: Jim Regetz
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# [13-JUL-2011]
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# Edits by Yuina to auto-apply for nine regions.
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#
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# 9-Dec-2011
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# Yuina Nunokawa
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library(raster)
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# load slope rasters
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aster.dir <- "/data/project/organisms/DEM/Yuni/Data/aster2"
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srtm.dir <- "/data/project/organisms/DEM/Yuni/Data/srtm"
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aster.straddle <- list.files(aster.dir, pattern="^aster2.*_straddle_s.tif")
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srtm.below <- list.files(srtm.dir, pattern="^srtm_.*_below_s.tif")
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fused.straddle <- list.files(aster.dir, pattern="^fused.*_straddle_s.tif")
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fused.bgau <- list.files(aster.dir, pattern="^fused.*_blendgau_s.tif")
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slope <- function(s.aster2, s.srtm, s.uncor, s.bg, file.name, ylim, aster.dir, srtm.dir){
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# extract raster latitudes for later
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lats2400 <- yFromRow(s.aster2, 1:nrow(s.aster2))
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lats1200 <- yFromRow(s.srtm, 1:nrow(s.srtm))
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# initialize output pdf device driver
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name <- paste("slope_", file.name, ".pdf", sep="")
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pdf(file.path("/data/project/organisms/DEM/Yuni/documents/slope", file=name), height=8, width=11.5)
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#
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# plot latitudinal profiles of mean slope
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#
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par(mfrow=c(2,2), omi=c(1,1,1,1))
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ylim <- ylim
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plot(lats2400, rowMeans(as.matrix(s.aster2), na.rm=TRUE), type="l", xlab="Latitude", ylab="Mean slope", ylim=ylim)
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lines(lats1200, rowMeans(as.matrix(s.srtm), na.rm=TRUE), col="red")
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text(min(lats2400), max(ylim)-0.5, pos=4, font=3, labels="Original")
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legend("bottomright", legend=c("ASTER2", "SRTM"), col=c("blue", "red"), lty=c(1, 1), bty="n")
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abline(v=60, col="red", lty=2)
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mtext(expression(paste("Latitudinal profiles of mean slope", file.name)), adj=0, line=2, font=2)
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plot(lats2400, rowMeans(as.matrix(s.uncor), na.rm=TRUE), type="l", xlab="Latitude", ylab="Mean slope", ylim=ylim)
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legend("bottomright", legend=c("ASTER2"), col=c("black"), lty=c(1, 1), bty="n")
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text(min(lats2400), max(ylim)-0.5, pos=4, font=3, labels="simple fused")
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abline(v=60, col="red", lty=2)
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plot(lats2400, rowMeans(as.matrix(s.bg), na.rm=TRUE), type="l", xlab="Latitude", ylab="Mean slope", ylim=ylim)
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legend("bottomright", legend=c("ASTER2"), col=c("black"), lty=c(1, 1), bty="n")
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text(min(lats2400), max(ylim)-0.5, pos=4, font=3, labels="gaussian blend")
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abline(v=60, col="red", lty=2)
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dev.off ()
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}
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num.regions <- 9
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plotSlope <-lapply(1:num.regions, function(region, aster.dir, srtm.dir){
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s.aster2 <- raster(file.path(aster.dir, aster.straddle[region]))
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s.srtm <- raster(file.path(srtm.dir, srtm.below[region]))
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s.uncor <- raster(file.path(aster.dir, fused.straddle[region]))
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s.bg <- raster(file.path(aster.dir, fused.bgau[region]))
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file.name <- substr(srtm.below[region], 6, 13)
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if (region==1){
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ylim <- c(0, 4)
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}else if(region==2){
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ylim <- c(0, 4)
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}else if (region==3){
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ylim <- c(2, 7)
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}else if (region==4){
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ylim <-c(1, 7)
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}else if (region==5){
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ylim <- c(0, 3)
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}else if (region==6){
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ylim <- c(0, 8)
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}else if (region==7){
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ylim <- c(0, 3)
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}else if (region==8){
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ylim <- c(3, 7)
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}else{
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ylim <- c(0, 6)
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}
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slope(s.aster2, s.srtm, s.uncor, s.bg, file.name, ylim, aster.dir, srtm.dir)
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}, aster.dir=aster.dir, srtm.dir=srtm.dir)
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