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# R script for creating a plot of mean elevation profile containing four lines
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# (aster2, srtm, uncorrected fused, blend gaussian fused) for each nine region
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# The results (plots) are saved at
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# "/data/project/organisms/DEM?Yuni/documents/meanElv"
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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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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.tif")
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srtm.below <- list.files(srtm.dir, pattern="^srtm_.*_below.tif")
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fused.straddle <- list.files(aster.dir, pattern="^fused.*_straddle.tif")
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fused.bgau <- list.files(aster.dir, pattern="^fused.*_blendgau.tif")
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mElevation <- function(d.aster2, d.srtm, d.uncor2, d.bg2, file.name, ylim, aster.dir, srtm.dir){
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# extract raster latitudes for later
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lats2400 <- yFromRow(d.aster2, 1:nrow(d.aster2))
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lats1200 <- yFromRow(d.srtm, 1:nrow(d.srtm))
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# initialize output pdf device driver
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name <- paste("mElevation_", file.name, ".pdf", sep="")
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pdf(file.path("/data/project/organisms/DEM/Yuni/documents/meanElv", file=name), height=8, width=11.5)
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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 latitudinal profiles of mean elevation for aster2 and srtm
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plot(lats2400, rowMeans(as.matrix(d.aster2), na.rm=TRUE), type="l",
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xlab="Latitude", ylab="Mean elevation", ylim=ylim)
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text(min(lats1200), min(ylim)+0.5, pos=4, font=3, labels="AGDEM2")
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lines(lats1200, rowMeans(as.matrix(d.srtm), na.rm=TRUE), col="blue")
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legend("bottomright", legend=c("SRTM", "ASTER2"), col=c("blue",
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"black"), 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 elevation", file.name)), adj=0, line=2, font=2)
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# plot latitudial profiles of mean elevation for Uncorrected fused and blend gaussian fused
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plot(lats2400, rowMeans(as.matrix(d.uncor2), na.rm=TRUE), type="l",
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xlab="Latitude", ylab="Mean elevation", ylim=ylim)
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text(min(lats2400), min(ylim)+0.5, pos=4, font=3, labels="simple fuse and gaussian")
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lines(lats2400, rowMeans(as.matrix(d.bg2), na.rm=TRUE), col="red")
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legend("bottomright", legend=c("Simple Fused", "Gaussian Blend"), col=c("black","red"), lty=c(1, 1), bty="n")
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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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plotElevation <-lapply(1:num.regions, function(region, aster.dir, srtm.dir){
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d.aster2 <- raster(file.path(aster.dir, aster.straddle[region]))
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d.srtm <- raster(file.path(srtm.dir, srtm.below[region]))
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d.uncor2 <- raster(file.path(aster.dir, fused.straddle[region]))
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d.bg2 <- 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(120, 150)
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}else if(region==2){
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ylim <- c(140, 175)
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}else if (region==3){
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ylim <- c(350, 550)
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}else if (region==4){
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ylim <-c(50, 450)
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}else if (region==5){
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ylim <- c(60, 200)
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}else if (region==6){
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ylim <- c(0, 90)
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}else if (region==7){
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ylim <- c(60, 100)
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}else if (region==8){
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ylim <- c(600, 750)
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}else{
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ylim <- c(30, 280)
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}
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mElevation(d.aster2, d.srtm, d.uncor2, d.bg2, file.name, ylim, aster.dir, srtm.dir)
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}, aster.dir=aster.dir, srtm.dir=srtm.dir)
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