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49c441dd
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Rick Reeves
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##############################################################################################
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#
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# CreateImageDiffPlots
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#
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# R script generates collection of nine plots that display the distributions of populations of
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# three elevation pixel pairs in proximity to the border between ASTER and STRM data in mosaic
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# images# under development for the Environment and Organisms project.
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#
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#
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# Inputs:
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# 1) Comma Separated Value (CSV) table containing randomly-sampled elevation value pairs,
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# extracted from ASTER/CGIAR mosaic and CDEM images, created by the R script: makeImagePairTable.r
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# Note: At present, be sure that this file has been sorted by column 1 (ColumnID) in Excel
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# before using in this program.
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#
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# 2) sampling factor: integer (range=1 to number of recors in input table. Determines
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# the size of randomly-selected sampe of total table record 'triplets' (north, border,
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# and south) rows of each column sample) to be displayed in the plots:
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# sampling factor = 1 : plot every table record
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# 10 : plot a random sample containing 1/10th of records
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# 100 : plot random sample containing 1/100th of records.
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#
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# To run:
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#
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# 1) place this file and the input file "tableForMark4000_5_8_SortColID.csv" in folder
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# 2) start R
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# 3) > source("CreateImageDiffPlotsOverlay.r")
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# 4) > CreateImageDiffPlots(sampling factor)
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# < press <cr> key to view plots sequentially
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#
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# TODO: add symbol legend to each plot.
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# Author: Rick Reeves, NCEAS
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# May 14, 2011
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##############################################################################################
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CreateImageDiffPlots <- function(plotSampFact = 100)
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{
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# Check plotSampleFact range
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if (plotSampFact < 1)
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plotSampFact = 1
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if (plotSampFact > 100)
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plotSampFact = 100
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# Read input table that was sorted OFFLINE in Excel on the first column (ColumnID)
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pointTable <-read.csv("tableForMark4000_5_8_SortColID.csv")
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# Table created by randomly sampling from two superimposed
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# image:
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# 1) DOM mosaic image comprised of ASTER and SRTM components.
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# 2) 'Baseline' Canadian DEM (CDEM) image.
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#
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# The input table contains three rows for each randomly-selected
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# pixel pair from both images. Each row contains two pixel pairs,
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# the first pair drawn from the image mosaic, the second pair
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# drawn from the CDEM image:
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# First pair: North pixel, South pixel (ASTER/SRTM mosaic)
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# Second pair: North pixel, South pixel (CDEM)
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#
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# The first row of each 'triplet' contains pixel pairs North of border,
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# The second row contains pixel pairs spanning border,
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# The third row contains pixel pairs South of border,
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#
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# This script generates a series of plots that display
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# differences between:
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# 1) The mosaic and CDEM images
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# 2) Image pixels on and away from the ASTER / SRTM boundary.
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#
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northRowIndexes = seq(from=1, to=(nrow(pointTable) - 3),by=3)
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borderRowIndexes = seq(from=2, to=(nrow(pointTable) - 1),by=3)
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southRowIndexes = seq(from=3, to=(nrow(pointTable)),by=3)
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#
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# calculate and append the difference between elevations
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# and CDEM
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# these lines create the inputs for differnce image plots for each of three
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# pixel pair subsets: North of border (All Aster), border (combo Aster/Srtm),
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# South of border (all Srtm)
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#
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# First, add the 'difference columns' to the entire table
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#
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pointTable <-cbind(pointTable,(pointTable$elevNorth - pointTable$elevSouth))
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pointTable <-cbind(pointTable,(pointTable$cdemNorth - pointTable$cdemSouth))
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pointTable <-cbind(pointTable,(pointTable$elevNorth - pointTable$cdemNorth))
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pointTable <-cbind(pointTable,(pointTable$elevSouth - pointTable$cdemSouth))
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#
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colnames(pointTable)[6] <- "diffMosaicNorthSouth"
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colnames(pointTable)[7] <- "diffCDEMNorthSouth"
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colnames(pointTable)[8] <- "diffNorthMosaicCDEM"
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colnames(pointTable)[9] <- "diffSouthMosaicCDEM"
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# Difference between Mosaic (ASTER or CGIAR or border)
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# and CDEM elevation as pertentage of the mosaic elevation
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pointTable <-cbind(pointTable,(pointTable$diffNorthMosaicCDEM/pointTable$elevNorth * 100))
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pointTable <-cbind(pointTable,(pointTable$diffSouthMosaicCDEM/pointTable$elevSouth * 100))
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colnames(pointTable)[10] <- "magDiffMosaicCDEMNorthPct"
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colnames(pointTable)[11] <- "magDiffMosaicCDEMSouthPct"
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# For the plots, subdivide the table into three segments:
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# rows north of border
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# rows crossing border
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# rows south of border
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northRowTblAll = pointTable[northRowIndexes,]
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borderRowTblAll = pointTable[borderRowIndexes,]
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southRowTblAll = pointTable[southRowIndexes,]
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subset <- 1:nrow(northRowTblAll)
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randSub <- sample(subset,as.integer(length(subset) / plotSampFact))
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northRowTbl <- northRowTblAll[randSub,]
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borderRowTbl <- borderRowTblAll[randSub,]
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southRowTbl <- southRowTblAll[randSub,]
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message("hit key to create each plot...")
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browser()
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# Three plotting characters used
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plotCh1 <- 17 # 'north' (Aster) points
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plotCh2 <- 18 # 'border' (Aster+srtm) points
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plotCh3 <- 20 # 'south' (srtm) points
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# First plot pair: North/South Mosaic Image pixel elevation for North/South subsets 'distance East from Western edge'.
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$elevNorth,na.rm=TRUE),sd(northRowTbl$elevNorth,na.rm=TRUE),
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mean(borderRowTbl$elevNorth,na.rm=TRUE),sd(borderRowTbl$elevNorth,na.rm=TRUE),
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mean(southRowTbl$elevNorth,na.rm=TRUE),sd(southRowTbl$elevNorth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$elevNorth,main="North Mosaic Pixel Elev: ASTER (red) Border (green) SRTM (blue)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$elevNorth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$elevNorth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$elevSouth,na.rm=TRUE),sd(northRowTbl$elevSouth,na.rm=TRUE),
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mean(borderRowTbl$elevSouth,na.rm=TRUE),sd(borderRowTbl$elevSouth,na.rm=TRUE),
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mean(southRowTbl$elevSouth,na.rm=TRUE),sd(southRowTbl$elevSouth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$elevSouth,main="South Mosaic Pixel Elev: ASTER (red) Border (green) SRTM (blue)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$elevSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$elevSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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# Second plot pair: North/South CDEM pixel elevation for North/South subsets 'distance East from Western edge'.
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$cdemNorth,na.rm=TRUE),sd(northRowTbl$cdemNorth,na.rm=TRUE),
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mean(borderRowTbl$cdemNorth,na.rm=TRUE),sd(borderRowTbl$cdemNorth,na.rm=TRUE),
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mean(southRowTbl$cdemNorth,na.rm=TRUE),sd(southRowTbl$cdemNorth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$cdemNorth,main="North CDEM Pixel Elev ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$cdemNorth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$cdemNorth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$cdemSouth,na.rm=TRUE),sd(northRowTbl$cdemSouth,na.rm=TRUE),
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mean(borderRowTbl$cdemSouth,na.rm=TRUE),sd(borderRowTbl$cdemSouth,na.rm=TRUE),
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mean(southRowTbl$cdemSouth,na.rm=TRUE),sd(southRowTbl$cdemSouth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$cdemSouth,main="South CDEM Pixel Elev ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$cdemSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$cdemSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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# Third plot pair: difference between North and South pixels in pair.
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(northRowTbl$diffMosaicNorthSouth,na.rm=TRUE),
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mean(borderRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(borderRowTbl$diffMosaicNorthSouth,na.rm=TRUE),
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mean(southRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(southRowTbl$diffMosaicNorthSouth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$diffMosaicNorthSouth,main="Mosaic N/S Pixel Diff: ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$diffMosaicNorthSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$diffMosaicNorthSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(northRowTbl$diffCDEMNorthSouth,na.rm=TRUE),
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mean(borderRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(borderRowTbl$diffCDEMNorthSouth,na.rm=TRUE),
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mean(southRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(southRowTbl$diffCDEMNorthSouth,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$diffCDEMNorthSouth,main="CDEM N/S Pixel Diff: ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$diffCDEMNorthSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$diffCDEMNorthSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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# Fourth plot pair: the Mosaic/CDEM difference for North and South pixels
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffNorthMosaicCDEM,na.rm=TRUE),sd(northRowTbl$diffNorthMosaicCDEM,na.rm=TRUE),
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mean(borderRowTbl$diffNorthMosaicCDEM,na.rm=TRUE),sd(borderRowTbl$diffNorthMosaicCDEM,na.rm=TRUE),
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mean(southRowTbl$diffNorthMosaicCDEM,na.rm=TRUE),sd(southRowTbl$diffNorthMosaicCDEM,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$diffMosaicNorthSouth,main="Mosaic / CDEM Pixel Diff (North): ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$diffMosaicNorthSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$diffMosaicNorthSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffSouthMosaicCDEM,na.rm=TRUE),sd(northRowTbl$diffSouthMosaicCDEM,na.rm=TRUE),
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mean(borderRowTbl$diffSouthMosaicCDEM,na.rm=TRUE),sd(borderRowTbl$diffSouthMosaicCDEM,na.rm=TRUE),
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mean(southRowTbl$diffSouthMosaicCDEM,na.rm=TRUE),sd(southRowTbl$diffSouthMosaicCDEM,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$diffCDEMNorthSouth,main="Mosaic / CDEM Pixel Diff (South): ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$diffCDEMNorthSouth,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$diffCDEMNorthSouth,col="blue",pch=plotCh3)
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browser()
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dev.new()
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# Fifth plot pair: the Mosaic/CDEM difference divided by the (ASTER or SRTM) elevation
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE),sd(northRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE),
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mean(borderRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE),sd(borderRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE),
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mean(southRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE),sd(southRowTbl$magDiffMosaicCDEMNorthPct,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$magDiffMosaicCDEMNorthPct,main="Pixel Elev Diff as % of Mosaic Elev (North) - ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$magDiffMosaicCDEMNorthPct,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$magDiffMosaicCDEMNorthPct,col="blue",pch=plotCh3)
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browser()
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dev.new()
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE),sd(northRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE),
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mean(borderRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE),sd(borderRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE),
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mean(southRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE),sd(southRowTbl$magDiffMosaicCDEMSouthPct,na.rm=TRUE))
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plot(northRowTbl$ColumnID,northRowTbl$magDiffMosaicCDEMSouthPct,main="Pixel Elev Diff as % of Mosaic Elev (South) - ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$ColumnID,borderRowTbl$magDiffMosaicCDEMSouthPct,col="darkgreen",pch=plotCh2)
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points(southRowTbl$ColumnID,southRowTbl$magDiffMosaicCDEMSouthPct,col="blue",pch=plotCh3)
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browser()
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dev.new()
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# Final plot pair: Mosaic vs CDEM difference vs elevation (north or south)
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xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(northRowTbl$diffMosaicNorthSouth,na.rm=TRUE),
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mean(borderRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(borderRowTbl$diffMosaicNorthSouth,na.rm=TRUE),
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mean(southRowTbl$diffMosaicNorthSouth,na.rm=TRUE),sd(southRowTbl$diffMosaicNorthSouth,na.rm=TRUE))
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plot(northRowTbl$elevNorth,northRowTbl$diffMosaicNorthSouth,main="Mosaic Elev N/S Diff ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
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points(borderRowTbl$elevNorth,borderRowTbl$diffMosaicNorthSouth,col="darkgreen",pch=plotCh2)
|
| 225 |
|
|
points(southRowTbl$elevNorth,southRowTbl$diffMosaicNorthSouth,col="blue",pch=plotCh3)
|
| 226 |
|
|
browser()
|
| 227 |
|
|
dev.new()
|
| 228 |
|
|
xAxisLbl <- sprintf("M/SD: AST: %.2f / %.2f BRD: %.2f / %.2f STM: %.2f / %.2f",mean(northRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(northRowTbl$diffCDEMNorthSouth,na.rm=TRUE),
|
| 229 |
|
|
mean(borderRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(borderRowTbl$diffCDEMNorthSouth,na.rm=TRUE),
|
| 230 |
|
|
mean(southRowTbl$diffCDEMNorthSouth,na.rm=TRUE),sd(southRowTbl$diffCDEMNorthSouth,na.rm=TRUE))
|
| 231 |
|
|
plot(northRowTbl$elevNorth,northRowTbl$diffCDEMNorthSouth,main="CDEM Elev N/S Diff ASTER (r) Border (g) SRTM (b)",xlab=xAxisLbl,col="red",pch=plotCh1)
|
| 232 |
|
|
points(borderRowTbl$elevNorth,borderRowTbl$diffCDEMNorthSouth,col="darkgreen",pch=plotCh2)
|
| 233 |
|
|
points(southRowTbl$elevNorth,southRowTbl$diffCDEMNorthSouth,col="blue",pch=plotCh3)
|
| 234 |
|
|
message("All plots created - hit key to delete them...")
|
| 235 |
|
|
browser()
|
| 236 |
|
|
graphics.off()
|
| 237 |
|
|
}
|
