Revision 48392b95
Added by Jim Regetz over 13 years ago
- ID 48392b959bd2a90dff6425cbecb9b6015f0bf98a
| terrain/dem/dem-fusion.txt | ||
|---|---|---|
| 214 | 214 |
plot(crop(rampexp, window), main="north exponential ramp (hillshade)") |
| 215 | 215 |
plot(crop(blendgau, window), main="south gaussian blend (hillshade)") |
| 216 | 216 |
dev.off() |
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#======================================================================= |
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# R -- assess boundary artifacts with respect to slope |
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#======================================================================= |
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s.aster <- raster("aster_300straddle_s.tif")
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s.srtm <- raster("srtm_150below_s.tif")
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s.uncor <- raster("fused_300straddle_s.tif")
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s.eramp <- raster("fused_300straddle_rampexp_s.tif")
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s.bg <- raster("fused_300straddle_blendgau_s.tif")
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s.can <- raster("cdem_300straddle_s.tif")
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rmse <- function(r1, r2) {
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sqrt(rowMeans(as.matrix((r1 - r2)^2), na.rm=TRUE)) |
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} |
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pdf("slope-rmse.pdf", height=8, width=11.5)
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par(mfrow=c(2,3), omi=c(1,1,1,1)) |
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lats300 <- yFromRow(s.aster, 1:nrow(s.aster)) |
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lats150 <- yFromRow(s.srtm, 1:nrow(s.srtm)) |
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# Latitudinal RMSE profiles with respect to ASTER |
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plot(lats300, rmse(s.uncor, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext("Slope discrepancies with respect to separate ASTER/SRTM components",
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adj=0, line=2, font=2) |
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plot(lats300, rmse(s.eramp, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rmse(s.bg, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.bg, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="gaussian blend") |
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abline(v=60, col="red", lty=2) |
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# Latitudinal RMSE profiles with respect to CDEM |
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plot(lats300, rmse(s.uncor, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext("Slope discrepancies with respect to Canada DEM",
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adj=0, line=2, font=2) |
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plot(lats300, rmse(s.eramp, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rmse(s.bg, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, 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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corByLat <- function(r1, r2, rows) {
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if (missing(rows)) {
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rows <- 1:nrow(r1) |
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} |
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m1 <- as.matrix(r1) |
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m2 <- as.matrix(r2) |
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sapply(rows, function(row) cor(m1[row,], m2[row,], |
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use="pairwise.complete.obs")) |
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} |
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pdf("slope-corr.pdf", height=8, width=11.5)
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par(mfrow=c(2,3), omi=c(1,1,1,1)) |
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lats300 <- yFromRow(s.aster, 1:nrow(s.aster)) |
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lats150 <- yFromRow(s.srtm, 1:nrow(s.srtm)) |
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ylim <- c(0.65, 1) |
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# Latitudinal RMSE profiles with respect to ASTER |
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plot(lats300, corByLat(s.uncor, s.aster), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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lines(lats150, corByLat(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext("Slope correlations with separate ASTER/SRTM components",
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adj=0, line=2, font=2) |
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plot(lats300, corByLat(s.eramp, s.aster), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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lines(lats150, corByLat(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, corByLat(s.bg, s.aster), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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lines(lats150, corByLat(crop(s.bg, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), min(ylim), pos=4, font=3, labels="gaussian blend") |
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abline(v=60, col="red", lty=2) |
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# Latitudinal correlation profiles with respect to CDEM |
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plot(lats300, corByLat(s.uncor, s.can), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext("Slope correlations with Canada DEM",
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adj=0, line=2, font=2) |
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plot(lats300, corByLat(s.eramp, s.can), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, corByLat(s.bg, s.can), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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text(min(lats300), min(ylim), 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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| terrain/slope/slope-assessment.R | ||
|---|---|---|
| 1 |
# R code to plot latitudinal profiles of mean slope, along with both |
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# RMSE and correlation coefficients comparing fused layers with both the |
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# raw ASTER and with the Canada DEM |
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# |
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# Jim Regetz |
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# NCEAS |
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# Created on 08-Jun-2011 |
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library(raster) |
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datadir <- "/home/regetz/media/temp/terrain/slope" |
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# load slope rasters |
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s.aster <- raster(file.path(datadir, "aster_300straddle_s.tif")) |
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s.srtm <- raster(file.path(datadir, "srtm_150below_s.tif")) |
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s.uncor <- raster(file.path(datadir, "fused_300straddle_s.tif")) |
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s.eramp <- raster(file.path(datadir, "fused_300straddle_rampexp_s.tif")) |
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s.bg <- raster(file.path(datadir, "fused_300straddle_blendgau_s.tif")) |
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s.can <- raster(file.path(datadir, "cdem_300straddle_s.tif")) |
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# extract raster latitudes for later |
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lats300 <- yFromRow(s.aster, 1:nrow(s.aster)) |
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lats150 <- yFromRow(s.srtm, 1:nrow(s.srtm)) |
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# initialize output pdf device driver |
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pdf("slope-assessment.pdf", 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 <- c(1, 6) |
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plot(lats300, rowMeans(as.matrix(s.uncor), na.rm=TRUE), type="l", |
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xlab="Latitude", ylab="Mean slope", ylim=ylim) |
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text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext(expression(paste("Latitudinal profiles of mean slope (",
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136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2) |
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plot(lats300, rowMeans(as.matrix(s.can), na.rm=TRUE), type="l", |
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xlab="Latitude", ylab="Mean slope", ylim=ylim) |
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text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="Canada DEM") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rowMeans(as.matrix(s.eramp), na.rm=TRUE), type="l", |
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xlab="Latitude", ylab="Mean slope", ylim=ylim) |
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text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rowMeans(as.matrix(s.bg), na.rm=TRUE), type="l", |
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xlab="Latitude", ylab="Mean slope", ylim=ylim) |
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text(min(lats300), 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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# |
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# plot latitudinal profiles of RMSE |
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# |
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# simple helper function to calculate row-wise RMSEs |
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rmse <- function(r1, r2, na.rm=TRUE) {
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sqrt(rowMeans(as.matrix((r1 - r2)^2), na.rm=na.rm)) |
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} |
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par(mfrow=c(2,3), omi=c(1,1,1,1)) |
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# ...with respect to ASTER |
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plot(lats300, rmse(s.uncor, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext(expression(paste( |
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"Slope discrepancies with respect to separate ASTER/SRTM components (",
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136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2) |
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plot(lats300, rmse(s.eramp, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rmse(s.bg, s.aster), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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lines(lats150, rmse(crop(s.bg, extent(s.srtm)), s.srtm), col="blue") |
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legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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text(min(lats300), 4.5, pos=4, font=3, labels="gaussian blend") |
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abline(v=60, col="red", lty=2) |
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# ...with respect to CDEM |
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plot(lats300, rmse(s.uncor, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected") |
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abline(v=60, col="red", lty=2) |
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mtext(expression(paste( |
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"Slope discrepancies with respect to Canada DEM (",
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136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2) |
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|
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plot(lats300, rmse(s.eramp, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp") |
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abline(v=60, col="red", lty=2) |
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plot(lats300, rmse(s.bg, s.can), type="l", xlab="Latitude", |
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ylab="RMSE", ylim=c(0, 5)) |
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text(min(lats300), 4.5, pos=4, font=3, labels="gaussian blend") |
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abline(v=60, col="red", lty=2) |
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|
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# |
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# plot latitudinal profiles of correlation coefficients |
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# |
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|
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# simple helper function to calculate row-wise correlation coefficients |
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corByLat <- function(r1, r2, rows) {
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if (missing(rows)) {
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rows <- 1:nrow(r1) |
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} |
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m1 <- as.matrix(r1) |
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m2 <- as.matrix(r2) |
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sapply(rows, function(row) cor(m1[row,], m2[row,], |
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use="pairwise.complete.obs")) |
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} |
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par(mfrow=c(2,3), omi=c(1,1,1,1)) |
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ylim <- c(0.65, 1) |
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# ...with respect to ASTER |
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plot(lats300, corByLat(s.uncor, s.aster), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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lines(lats150, corByLat(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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lty=c(1, 1), bty="n") |
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| 143 |
text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected") |
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| 144 |
abline(v=60, col="red", lty=2) |
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| 145 |
mtext(expression(paste( |
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| 146 |
"Slope correlations with respect to separate ASTER/SRTM components (",
|
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| 147 |
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2) |
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| 148 |
|
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| 149 |
plot(lats300, corByLat(s.eramp, s.aster), type="l", xlab="Latitude", |
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| 150 |
ylab="Correlation", ylim=ylim) |
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lines(lats150, corByLat(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
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| 153 |
lty=c(1, 1), bty="n") |
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text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp") |
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| 155 |
abline(v=60, col="red", lty=2) |
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| 156 |
|
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| 157 |
plot(lats300, corByLat(s.bg, s.aster), type="l", xlab="Latitude", |
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| 158 |
ylab="Correlation", ylim=ylim) |
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| 159 |
lines(lats150, corByLat(crop(s.bg, extent(s.srtm)), s.srtm), col="blue") |
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legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
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lty=c(1, 1), bty="n") |
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text(min(lats300), min(ylim), pos=4, font=3, labels="gaussian blend") |
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abline(v=60, col="red", lty=2) |
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|
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# ...with respect to CDEM |
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plot(lats300, corByLat(s.uncor, s.can), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected") |
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| 169 |
abline(v=60, col="red", lty=2) |
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| 170 |
mtext(expression(paste( |
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| 171 |
"Slope correlations with respect to Canada DEM (",
|
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| 172 |
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2) |
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| 173 |
|
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| 174 |
plot(lats300, corByLat(s.eramp, s.can), type="l", xlab="Latitude", |
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ylab="Correlation", ylim=ylim) |
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| 176 |
text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp") |
|
| 177 |
abline(v=60, col="red", lty=2) |
|
| 178 |
|
|
| 179 |
plot(lats300, corByLat(s.bg, s.can), type="l", xlab="Latitude", |
|
| 180 |
ylab="Correlation", ylim=ylim) |
|
| 181 |
text(min(lats300), min(ylim), pos=4, font=3, labels="gaussian blend") |
|
| 182 |
abline(v=60, col="red", lty=2) |
|
| 183 |
|
|
| 184 |
# close pdf device driver |
|
| 185 |
dev.off() |
|
Also available in: Unified diff
separated out code to profile slope near 60N boundary