I am creating a map using tmap with a quantitative variable that I wish to use for setting the polygon colours. When I set the colour ramp using a standard RColorBrewer palette or with a custom vector of colours, it is only using half of the values in the colour ramp (but I want them all!). For example, with the "RdYlGn" palette, it is only plotting from yellow to green without any reds.

Let's take the example of the meuse dataset (I am taking the start of this example from this answer (Mapping several maps with the same colorscheme in tmap))

library(rgeos) # for the gBuffer function in this example

data(meuse, meuse.area)       

coordinates(meuse) <- ~x + y 

meuse.area <- SpatialPolygons(list(Polygons(list(Polygon(meuse.area)),'1')))

proj4string(meuse)<- CRS("+init=epsg:28992")
proj4string(meuse.area)<- CRS("+init=epsg:28992")

#turn it into a spatial polygon for my purposes

meuse.poly=gBuffer(meuse, width=100, byid=TRUE)

    tm_polygons("dist", title="dist",
         palette="RdYlGn", n=6)

Here's the map with this example:

enter image description here

But I don't get the full spectrum of colours:

enter image description here


You need auto.palette.mapping=FALSE in tm_polygon().

tm_shape(meuse.poly) +
tm_polygons("dist", title="dist", palette="RdYlGn",                 
            auto.palette.mapping=FALSE, n=6)


See the help page (argument auto.palette.mapping):


When diverging colour palettes are used (i.e. "RdBu") this method automatically maps colors to values such that the middle colors (mostly white or yellow) are assigned to values of 0, and the two sides of the color palette are assigned to negative respectively positive values. When categorical color palettes are used, this method stretches the palette if there are more levels than colors.

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