I'm using ggplot to map data values to a (fortified) SpatialPolygonsDataFrame, but many of the polygons have NA values because there is no data available.
I used na.value = "white" to display the missing data correctly, but I'd like to add a box with a white fill in the legend (or a separate legend) with the label "no data".
library(ggplot2)
india.df <- read.csv('india.df.csv')
# (I don't know how to provide this file to make the code reproducible)
ggplot() +
geom_polygon(data=india.df, aes(x = long, y = lat, group = group, fill=Area_pct)) +
scale_fill_gradient(low="orange2", high="darkblue", na.value = "white") +
geom_path(data=india.df, aes_string(x = x, y = y, group = group), color = "gray", size = 0.25) +
theme_bw() +
coord_map() +
labs(title = "Rice Under Irrigation in Gujarat - 2001",
fill = "Area (%)")
(I have a great image to illustrate this but don't have enough reputation points to post it)
I've read this, but my data is continuous (not discrete), and this, but I can't figure out how to adapt the 'line' change to 'fill'.
Thanks for the help!!
You could make use of the behavior of ggplot which creates a legend when specifying certain aesthetics within aes()
I am creating some dummy data and am using geom_map instead of geom_polygon, which I find easier. You can then use override.aes
to specify the fill of the legend key with the NA value. You can then easily rename the legend etc.
library(tidyverse)
worldData <- map_data('world') %>% fortify()
india.df <- data.frame(region = 'India', Area_pct = 2, stringsAsFactors = FALSE) %>% right_join(worldData, by = 'region')
na.value.forplot <- 'white'
ggplot() +
geom_map(data = india.df, map = india.df, aes(x = long, y = lat, fill = Area_pct, map_id = region, color = 'NA')) +
scale_fill_gradient(low="orange2", high="darkblue", na.value = na.value.forplot) +
scale_color_manual(values = 'black', labels = 'Missing value') +
guides(color = guide_legend(override.aes = list(fill = na.value.forplot)))
#> Warning: Ignoring unknown aesthetics: x, y
Created on 2019-07-18 by the reprex package (v0.3.0)
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