Learning with afrilearndata

library(tidyverse)
library(afriadmin)
library(afrihealthsites)
library(afrilearndata)
library(tmap)

afriadmin::afcountries
#afriadmin::afcountrynames(afcountries$name)

countries<- afriadmin::afcountries$name

afrilearndata::africapitals
afrilearndata::afrihighway
afrilearndata::afripop2000
afrilearndata::afripop2020  
afrilearndata::africountries
afriadmin::sf_af_gadm0
afrihealthsites::sf_healthsites_af

sf::st_crs(africountries)=st_crs(4326)
sf::st_crs(afrihighway)=st_crs(4326)
sf::st_crs(africapitals)=st_crs(4326)

tmap_mode("plot")

pop_00 <- tmap::tm_shape(africountries) +
  tm_polygons(col = "#42ecf5") +
  
  tm_shape(afripop2000)+
  tm_raster(title="Population density",
            palette = rev(viridisLite::inferno(5)),
            breaks = c(0,2,20,200,2000,25000)) +
  
  tm_shape(afrihighway) +
  tm_lines(col="#f5b342") +
  
  tm_shape(africountries)+
  tm_borders() +
  tm_text(text ="iso_a3", 
          fontface = "bold",
          col="midnightblue",
          size = "pop_est",
          title.size = "",
          legend.size.show = TRUE,
          sizes.legend.text = "Pop"
          ) +
  
  tm_shape(africapitals) +
  tm_symbols(col="midnightblue",scale = 0.2) +
  
  tm_layout(title="2000",
            title.position = c(0.8,0.9),
            legend.title.size = 1,
            legend.text.size = 0.5,
            legend.position = c("left","bottom"),
            legend.bg.color = NA
            )
  
    
pop_20 <- tmap::tm_shape(africountries) +
  tm_polygons(col = "#42ecf5") +
  
  tm_shape(afripop2020)+
  tm_raster(title="Population density",
            palette = rev(viridisLite::inferno(5)),
            breaks = c(0,2,20,200,2000,25000)) +
  
  tm_shape(afrihighway) +
  tm_lines(col="#f5b342") +
  
  tm_shape(africountries)+
  tm_borders() +
   tm_text(text ="iso_a3", 
          fontface = "bold",
          col="midnightblue",
          size = "pop_est",
          title.size = "",
          legend.size.show = TRUE,
          sizes.legend.text = "Pop"
          ) +
  
  tm_shape(africapitals) +
  tm_symbols(col="midnightblue",scale = 0.2) +
  
  tm_layout(title="2020",
            title.position = c(0.8,0.9),
            legend.title.size = 1,
            legend.text.size = 0.5,
            legend.position = c("left","bottom"),
            legend.bg.color = NA
            )  
  
my_raster<-tmap_arrange(pop_00,pop_20,ncol = 2)

# save final plot
ragg::agg_png(here::here("day10_raster/raster.png"),
              res = 320, width = 8, height = 6, units = "in")
my_raster
dev.off()

library(showtext)
library(extrafont)
sysfonts::font_info_google("Josefin Sans")
#fonts()
#loadfonts()
font_add_google("Josefin Sans","josefin")
showtext_opts(dpi = 320)
showtext_auto(enable = T)

# final touches
library(cowplot)
library(magick)

raster_image<- magick::image_read(here::here("day10_raster/raster.png"))

g <- grid::circleGrob(gp = grid::gpar(fill = NA,color="black"))


final <- cowplot::ggdraw()+
  draw_image(raster_image,x = 0.1, y = 0,width = 0.7)+
  draw_label(label="Africa",x=0.3,y=0.2,fontfamily="josefin",size=40) +
  draw_label(label="density increased\nin some areas\nmore than others",x=0.52,y=0.35,fontfamily="josefin",size=8) +
  draw_label(label="Population density transition 2000-2020", x=0.45, y=0.95, size=30, fontfamily="josefin") +
  
  draw_line(x = c(0.52, 0.5),y = c(0.38, 0.48),color = "black", size = 0.2)+
  
  draw_line(x = c(0.52, 0.6),y = c(0.38, 0.5),color = "black", size = 0.2)+
  
  draw_text("Datasource: afrilearndata\n#TidyTuesdat week46 and #30DayMapChallenge day10 Raster\nInfographics: Federica Gazzelloni",x=0.5,y=0.05,family="josefin",size=11)+
  draw_grob(g, scale = 0.2,x = 0,y = 0.03)

# save final plot
ragg::agg_png(here::here("day10_raster/raster2.png"),
              res = 320, width = 12, height = 8, units = "in")
final
dev.off()