I am using geom_tile function from ggplot to visualise some spatial data. I have a continous variable region_relative_rainfall
and discrete variable region
. I would like to create a clear plot that has contrasting colors for each level of the discrete variable. And within each level of discrete variable have that same color being sequential for the continuous variable. I only know how to change the fill and color as shown with the code below, but isn't as clear as I would like. Any tips would be much appreaciated.
# geom_tile question
library(ggplot2)
library(dplyr)
set.seed(123)
n_row = 10
n_col = 20
df = expand.grid(1:n_row, 1:n_col)
colnames(df) = c("y","x")
n = n_row * n_col
k = 5
df$region = sample(x = letters[1:k], size = n, replace = T)
df$rainfall = rlnorm(n = n, log(13), 0.4)
## normalise rainfall by region, to sum = 1 for each region
df <- df %>%
group_by(region) %>%
mutate("region_relative_rainfall" =rainfall / sum(rainfall))
## Current plot, not quite what I want
ggplot(df, aes(x = x, y = y, fill = region_relative_rainfall, color = region)) +
geom_tile() +
theme(panel.grid = element_blank(),
axis.text = element_blank()) +
scale_y_reverse( lim=c(n_row,1))
Do you need something like this?
library(ggplot2)
ggplot(df) + aes(x = x, y = region, fill = region) +
geom_tile(aes(alpha = region_relative_rainfall)) +
theme(panel.grid = element_blank(),
axis.text = element_blank())