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)
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$brks, col=pal)
incorrectly, plot() applies the colour scheme only to 50% of the value-range, the rest stays white.
what am I doing wrong?
Edit: using the data supplied by OP & rasterVis::levelplot
solution from this answer
library(raster)
library(rasterVis)
library(classInt)
plotVar <- raster("LCPs_standartized.tif")
nColor <- 50
break1 <- classIntervals(plotVar[!is.na(plotVar)],
n = nColor, style = "quantile")
lvp <- levelplot(plotVar,
col.regions = colorRampPalette(brewer.pal(9, 'RdYlGn')),
at = break1$brks, margin = FALSE)
lvp
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