Tile plane with rectangles.


geom_tile(mapping = NULL, data = NULL, stat = "identity", position = "identity",


The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.
A layer specific dataset - only needed if you want to override the plot defaults.
The statistical transformation to use on the data for this layer.
The position adjustment to use for overlappling points on this layer
other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.


Similar to levelplot and image.


geom_tile understands the following aesthetics (required aesthetics are in bold):

  • x
  • y
  • alpha
  • colour
  • fill
  • linetype
  • size


# Generate data pp <- function (n,r=4) { x <- seq(-r*pi, r*pi, len=n) df <- expand.grid(x=x, y=x) df$r <- sqrt(df$x^2 + df$y^2) df$z <- cos(df$r^2)*exp(-df$r/6) df } p <- ggplot(pp(20), aes(x=x,y=y)) p + geom_tile() #pretty useless!

# Add aesthetic mappings p + geom_tile(aes(fill=z))

# Change scale p + geom_tile(aes(fill=z)) + scale_fill_gradient(low="green", high="red")

# Use qplot instead qplot(x, y, data=pp(20), geom="tile", fill=z)

qplot(x, y, data=pp(100), geom="tile", fill=z)

# Missing values p <- ggplot(pp(20)[sample(20*20, size=200),], aes(x=x,y=y,fill=z)) p + geom_tile()

# Input that works with image image(t(volcano)[ncol(volcano):1,])

library(reshape2) # for melt ggplot(melt(volcano), aes(x=Var1, y=Var2, fill=value)) + geom_tile()

# inspired by the image-density plots of Ken Knoblauch cars <- ggplot(mtcars, aes(y=factor(cyl), x=mpg)) cars + geom_point()

cars + stat_bin(aes(fill=..count..), geom="tile", binwidth=3, position="identity")

cars + stat_bin(aes(fill=..density..), geom="tile", binwidth=3, position="identity")

cars + stat_density(aes(fill=..density..), geom="tile", position="identity")

cars + stat_density(aes(fill=..count..), geom="tile", position="identity")

# Another example with with unequal tile sizes x.cell.boundary <- c(0, 4, 6, 8, 10, 14) example <- data.frame( x = rep(c(2, 5, 7, 9, 12), 2), y = factor(rep(c(1,2), each=5)), z = rep(1:5, each=2), w = rep(diff(x.cell.boundary), 2) ) qplot(x, y, fill=z, data=example, geom="tile")

qplot(x, y, fill=z, data=example, geom="tile", width=w)

qplot(x, y, fill=factor(z), data=example, geom="tile", width=w)

# You can manually set the colour of the tiles using # scale_manual col <- c("darkblue", "blue", "green", "orange", "red") qplot(x, y, fill=col[z], data=example, geom="tile", width=w, group=1) + scale_fill_identity(labels=letters[1:5], breaks=col)