Figure 5.5 Maps of areas with widely varying populations

figures
code
R

Not too much to say here, except that it would be nice if somebody would develop a better approach to mapping US-wide data. Counties really are a terrible base unit.

Code
library(sf)
library(tmap)
library(dplyr)

ca <- st_read("ca-pops.gpkg")

m1 <- tm_shape(ca) + 
  tm_fill(col = "population", 
          title = "Population", palette = "Reds") +
  tm_borders(col = "white", lwd = 0.5) + 
  tm_legend(position = c("left", "bottom")) +
  tm_layout(frame = FALSE, legend.width = 0.5)
  
m2 <- tm_shape(ca) + 
  tm_fill(col = "population", convert2density = TRUE, 
          title = "Pop density", palette = "Greens") +
  tm_borders(col = "white", lwd = 0.5) + 
  tm_legend(position = c("left", "bottom")) +
  tm_layout(frame = FALSE, legend.width = 0.5)

m3 <- tm_shape(ca) + 
  tm_fill(col = "population", convert2density = TRUE, 
          title = "Pop density", style = "log10_pretty", 
          palette = "Blues") +
  tm_borders(col = "white", lwd = 0.5) + 
  tm_legend(position = c("left", "bottom")) +
  tm_layout(frame = FALSE, legend.width = 0.5)
  
tmap_arrange(m1, m2, m3)

Code
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© 2023 David O’Sullivan