| 1 |
48392b95
|
Jim Regetz
|
# R code to plot latitudinal profiles of mean slope, along with both
|
| 2 |
|
|
# RMSE and correlation coefficients comparing fused layers with both the
|
| 3 |
|
|
# raw ASTER and with the Canada DEM
|
| 4 |
|
|
#
|
| 5 |
|
|
# Jim Regetz
|
| 6 |
|
|
# NCEAS
|
| 7 |
|
|
# Created on 08-Jun-2011
|
| 8 |
|
|
|
| 9 |
|
|
library(raster)
|
| 10 |
|
|
|
| 11 |
|
|
datadir <- "/home/regetz/media/temp/terrain/slope"
|
| 12 |
|
|
|
| 13 |
|
|
# load slope rasters
|
| 14 |
|
|
s.aster <- raster(file.path(datadir, "aster_300straddle_s.tif"))
|
| 15 |
|
|
s.srtm <- raster(file.path(datadir, "srtm_150below_s.tif"))
|
| 16 |
|
|
s.uncor <- raster(file.path(datadir, "fused_300straddle_s.tif"))
|
| 17 |
|
|
s.eramp <- raster(file.path(datadir, "fused_300straddle_rampexp_s.tif"))
|
| 18 |
|
|
s.bg <- raster(file.path(datadir, "fused_300straddle_blendgau_s.tif"))
|
| 19 |
|
|
s.can <- raster(file.path(datadir, "cdem_300straddle_s.tif"))
|
| 20 |
|
|
|
| 21 |
|
|
# extract raster latitudes for later
|
| 22 |
|
|
lats300 <- yFromRow(s.aster, 1:nrow(s.aster))
|
| 23 |
|
|
lats150 <- yFromRow(s.srtm, 1:nrow(s.srtm))
|
| 24 |
|
|
|
| 25 |
|
|
# initialize output pdf device driver
|
| 26 |
|
|
pdf("slope-assessment.pdf", height=8, width=11.5)
|
| 27 |
|
|
|
| 28 |
|
|
|
| 29 |
|
|
#
|
| 30 |
|
|
# plot latitudinal profiles of mean slope
|
| 31 |
|
|
#
|
| 32 |
|
|
|
| 33 |
|
|
par(mfrow=c(2,2), omi=c(1,1,1,1))
|
| 34 |
|
|
ylim <- c(1, 6)
|
| 35 |
|
|
|
| 36 |
|
|
plot(lats300, rowMeans(as.matrix(s.uncor), na.rm=TRUE), type="l",
|
| 37 |
|
|
xlab="Latitude", ylab="Mean slope", ylim=ylim)
|
| 38 |
|
|
text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="uncorrected")
|
| 39 |
|
|
abline(v=60, col="red", lty=2)
|
| 40 |
|
|
mtext(expression(paste("Latitudinal profiles of mean slope (",
|
| 41 |
|
|
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2)
|
| 42 |
|
|
|
| 43 |
|
|
plot(lats300, rowMeans(as.matrix(s.can), na.rm=TRUE), type="l",
|
| 44 |
|
|
xlab="Latitude", ylab="Mean slope", ylim=ylim)
|
| 45 |
|
|
text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="Canada DEM")
|
| 46 |
|
|
abline(v=60, col="red", lty=2)
|
| 47 |
|
|
|
| 48 |
|
|
plot(lats300, rowMeans(as.matrix(s.eramp), na.rm=TRUE), type="l",
|
| 49 |
|
|
xlab="Latitude", ylab="Mean slope", ylim=ylim)
|
| 50 |
|
|
text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="exponential ramp")
|
| 51 |
|
|
abline(v=60, col="red", lty=2)
|
| 52 |
|
|
|
| 53 |
|
|
plot(lats300, rowMeans(as.matrix(s.bg), na.rm=TRUE), type="l",
|
| 54 |
|
|
xlab="Latitude", ylab="Mean slope", ylim=ylim)
|
| 55 |
|
|
text(min(lats300), max(ylim)-0.5, pos=4, font=3, labels="gaussian blend")
|
| 56 |
|
|
abline(v=60, col="red", lty=2)
|
| 57 |
|
|
|
| 58 |
|
|
|
| 59 |
|
|
#
|
| 60 |
|
|
# plot latitudinal profiles of RMSE
|
| 61 |
|
|
#
|
| 62 |
|
|
|
| 63 |
|
|
# simple helper function to calculate row-wise RMSEs
|
| 64 |
b02e39a0
|
Jim Regetz
|
rmse <- function(r1, r2, na.rm=TRUE, use) {
|
| 65 |
|
|
diffs <- abs(as.matrix(r1) - as.matrix(r2))
|
| 66 |
|
|
if (!missing(use)) diffs[!use] <- NA
|
| 67 |
|
|
sqrt(rowMeans(diffs^2, na.rm=na.rm))
|
| 68 |
48392b95
|
Jim Regetz
|
}
|
| 69 |
|
|
|
| 70 |
|
|
par(mfrow=c(2,3), omi=c(1,1,1,1))
|
| 71 |
|
|
|
| 72 |
|
|
# ...with respect to ASTER
|
| 73 |
|
|
plot(lats300, rmse(s.uncor, s.aster), type="l", xlab="Latitude",
|
| 74 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 75 |
|
|
lines(lats150, rmse(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue")
|
| 76 |
|
|
legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 77 |
|
|
lty=c(1, 1), bty="n")
|
| 78 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected")
|
| 79 |
|
|
abline(v=60, col="red", lty=2)
|
| 80 |
|
|
mtext(expression(paste(
|
| 81 |
|
|
"Slope discrepancies with respect to separate ASTER/SRTM components (",
|
| 82 |
|
|
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2)
|
| 83 |
|
|
|
| 84 |
|
|
plot(lats300, rmse(s.eramp, s.aster), type="l", xlab="Latitude",
|
| 85 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 86 |
|
|
lines(lats150, rmse(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue")
|
| 87 |
|
|
legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 88 |
|
|
lty=c(1, 1), bty="n")
|
| 89 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp")
|
| 90 |
|
|
abline(v=60, col="red", lty=2)
|
| 91 |
|
|
|
| 92 |
|
|
plot(lats300, rmse(s.bg, s.aster), type="l", xlab="Latitude",
|
| 93 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 94 |
|
|
lines(lats150, rmse(crop(s.bg, extent(s.srtm)), s.srtm), col="blue")
|
| 95 |
|
|
legend("topright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 96 |
|
|
lty=c(1, 1), bty="n")
|
| 97 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="gaussian blend")
|
| 98 |
|
|
abline(v=60, col="red", lty=2)
|
| 99 |
|
|
|
| 100 |
|
|
# ...with respect to CDEM
|
| 101 |
|
|
plot(lats300, rmse(s.uncor, s.can), type="l", xlab="Latitude",
|
| 102 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 103 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="uncorrected")
|
| 104 |
|
|
abline(v=60, col="red", lty=2)
|
| 105 |
|
|
mtext(expression(paste(
|
| 106 |
|
|
"Slope discrepancies with respect to Canada DEM (",
|
| 107 |
|
|
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2)
|
| 108 |
|
|
|
| 109 |
|
|
plot(lats300, rmse(s.eramp, s.can), type="l", xlab="Latitude",
|
| 110 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 111 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="exponential ramp")
|
| 112 |
|
|
abline(v=60, col="red", lty=2)
|
| 113 |
|
|
|
| 114 |
|
|
plot(lats300, rmse(s.bg, s.can), type="l", xlab="Latitude",
|
| 115 |
|
|
ylab="RMSE", ylim=c(0, 5))
|
| 116 |
|
|
text(min(lats300), 4.5, pos=4, font=3, labels="gaussian blend")
|
| 117 |
|
|
abline(v=60, col="red", lty=2)
|
| 118 |
|
|
|
| 119 |
|
|
|
| 120 |
|
|
#
|
| 121 |
|
|
# plot latitudinal profiles of correlation coefficients
|
| 122 |
|
|
#
|
| 123 |
|
|
|
| 124 |
|
|
# simple helper function to calculate row-wise correlation coefficients
|
| 125 |
|
|
corByLat <- function(r1, r2, rows) {
|
| 126 |
|
|
if (missing(rows)) {
|
| 127 |
|
|
rows <- 1:nrow(r1)
|
| 128 |
|
|
}
|
| 129 |
|
|
m1 <- as.matrix(r1)
|
| 130 |
|
|
m2 <- as.matrix(r2)
|
| 131 |
|
|
sapply(rows, function(row) cor(m1[row,], m2[row,],
|
| 132 |
|
|
use="pairwise.complete.obs"))
|
| 133 |
|
|
}
|
| 134 |
|
|
|
| 135 |
|
|
par(mfrow=c(2,3), omi=c(1,1,1,1))
|
| 136 |
|
|
|
| 137 |
|
|
ylim <- c(0.65, 1)
|
| 138 |
|
|
|
| 139 |
|
|
# ...with respect to ASTER
|
| 140 |
|
|
plot(lats300, corByLat(s.uncor, s.aster), type="l", xlab="Latitude",
|
| 141 |
|
|
ylab="Correlation", ylim=ylim)
|
| 142 |
|
|
lines(lats150, corByLat(crop(s.uncor, extent(s.srtm)), s.srtm), col="blue")
|
| 143 |
|
|
legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 144 |
|
|
lty=c(1, 1), bty="n")
|
| 145 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected")
|
| 146 |
|
|
abline(v=60, col="red", lty=2)
|
| 147 |
|
|
mtext(expression(paste(
|
| 148 |
|
|
"Slope correlations with respect to separate ASTER/SRTM components (",
|
| 149 |
|
|
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2)
|
| 150 |
|
|
|
| 151 |
|
|
plot(lats300, corByLat(s.eramp, s.aster), type="l", xlab="Latitude",
|
| 152 |
|
|
ylab="Correlation", ylim=ylim)
|
| 153 |
|
|
lines(lats150, corByLat(crop(s.eramp, extent(s.srtm)), s.srtm), col="blue")
|
| 154 |
|
|
legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 155 |
|
|
lty=c(1, 1), bty="n")
|
| 156 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp")
|
| 157 |
|
|
abline(v=60, col="red", lty=2)
|
| 158 |
|
|
|
| 159 |
|
|
plot(lats300, corByLat(s.bg, s.aster), type="l", xlab="Latitude",
|
| 160 |
|
|
ylab="Correlation", ylim=ylim)
|
| 161 |
|
|
lines(lats150, corByLat(crop(s.bg, extent(s.srtm)), s.srtm), col="blue")
|
| 162 |
|
|
legend("bottomright", legend=c("ASTER", "SRTM"), col=c("black", "blue"),
|
| 163 |
|
|
lty=c(1, 1), bty="n")
|
| 164 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="gaussian blend")
|
| 165 |
|
|
abline(v=60, col="red", lty=2)
|
| 166 |
|
|
|
| 167 |
|
|
# ...with respect to CDEM
|
| 168 |
|
|
plot(lats300, corByLat(s.uncor, s.can), type="l", xlab="Latitude",
|
| 169 |
|
|
ylab="Correlation", ylim=ylim)
|
| 170 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="uncorrected")
|
| 171 |
|
|
abline(v=60, col="red", lty=2)
|
| 172 |
|
|
mtext(expression(paste(
|
| 173 |
|
|
"Slope correlations with respect to Canada DEM (",
|
| 174 |
|
|
136*degree, "W to ", 96*degree, "W)")), adj=0, line=2, font=2)
|
| 175 |
|
|
|
| 176 |
|
|
plot(lats300, corByLat(s.eramp, s.can), type="l", xlab="Latitude",
|
| 177 |
|
|
ylab="Correlation", ylim=ylim)
|
| 178 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="exponential ramp")
|
| 179 |
|
|
abline(v=60, col="red", lty=2)
|
| 180 |
|
|
|
| 181 |
|
|
plot(lats300, corByLat(s.bg, s.can), type="l", xlab="Latitude",
|
| 182 |
|
|
ylab="Correlation", ylim=ylim)
|
| 183 |
|
|
text(min(lats300), min(ylim), pos=4, font=3, labels="gaussian blend")
|
| 184 |
|
|
abline(v=60, col="red", lty=2)
|
| 185 |
|
|
|
| 186 |
|
|
# close pdf device driver
|
| 187 |
|
|
dev.off()
|
