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rplotrasterrastervis

R plot raster colorscheme not full range


I am trying to plot a raster with a defined colour scheme, which I take from the Rcolorbrewer package, so far no problem. The raster´s value range from 0 to 1 with no NA´s.

library(RColorBrewer)
library(classInt)

pal <- brewer.pal(n=50, name = "RdYlGn")
plot(rw_start_goal_stan, col=pal)

enter image description here

now I try to include quantile breaks, which I calculate using the ClassInt package

library(RColorBrewer)
library(classInt)

pal <- brewer.pal(n=50, name = "RdYlGn")
breaks.qt <- classIntervals(rw_start_goal_stan@data@values, style = "quantile")
plot(rw_start_goal_stan, breaks = breaks.qt$brks, col=pal)

incorrectly, plot() applies the colour scheme only to 50% of the value-range, the rest stays white.

enter image description here

what am I doing wrong?


Solution

  • Edit: using the data supplied by OP & rasterVis::levelplot solution from this answer

    library(raster)
    library(rasterVis)
    library(classInt)
    
    plotVar <- raster("LCPs_standartized.tif")
    
    nColor <- 50
    break1 <- classIntervals(plotVar[!is.na(plotVar)], 
                             n = nColor, style = "quantile")
    
    lvp <- levelplot(plotVar, 
                     col.regions = colorRampPalette(brewer.pal(9, 'RdYlGn')), 
                     at = break1$brks, margin = FALSE)
    lvp 
    

    enter image description here


    You need to specify the number of colors in classIntervals then assign color codes to that classInterval object.

    library(RColorBrewer)
    library(classInt)
    
    plotVar <- rw_start_goal_stan@data@values
    nColor <- 50
    plotColor <- brewer.pal(nColor, name = "RdYlGn")
    
    # equal-frequency class intervals
    class <- classIntervals(plotVar, nColor, style = "quantile")
    # assign colors to classes from classInterval object
    colorCode <- findColours(class, plotColor)
    
    # plot
    plot(rw_start_goal_stan)
    plot(rw_start_goal_stan, col = colorCode, add = TRUE)
    
    # specify the location of the legend, change -117 & 44 to numbers that fit your data
    legend(-117, 44, legend = names(attr(colorCode, "table")),
      fill = attr(colorCode, "palette"), cex = 0.8, bty = "n")
    

    Source: Maps in R