# Rnaturalearth & tmap
library(tidyverse)
library(sp)
library(tmap)
library(tmaptools)
# from tmap
data(metro, land, World)
class(World) # class sf
class(land)
metro%>%data.frame()%>%head
# old-style crs object detected (for my R version)
st_crs(metro)=st_crs(4283)
st_crs(World)=st_crs(4283)
st_crs(land)=st_crs(4283)
World_sh<- World%>%filter(!continent=="Antarctica")
tmap_mode("plot")
tm <-tmap::tm_shape(World_sh)+
tm_polygons("economy",
title="",
palette=(viridisLite::cividis(7))) +
tm_shape(World_sh) +
tm_borders("white", lwd = .5) +
tm_text("continent",
size = "AREA",
col="white") +
tm_shape(metro)+
tm_bubbles("pop2030",
col="white",
alpha=0.5,
title.size = "Pop 2030"
) +
tm_shape(metro)+
tm_bubbles("pop1950",
col="darkred",
alpha=0.3,
title.size = "Pop 1950") +
tm_credits("(c) World Pop {tmap} #30DayMapChallenge - Graphics: Federica Gazzelloni",
col = "white",
position=c(0.35,0.01))+
tm_layout(title="World Population 1950 vs 2030",
title.position = c(0.4,0.1),
title.color = "white",
title.fontface = "bold",
bg.color ="#185e6e",# "#202254",
inner.margins = c(0, .02, .02, .02),
legend.text.color = "white",
legend.title.size = 1,
legend.text.size = 0.5,
legend.position = c(0.05,0.05),
legend.bg.color = NA,
earth.boundary=T,
earth.boundary.color="green",
earth.boundary.lwd=3,
space.color="midnightblue"
)
## save an image ("plot" mode)
tmap_save(tm, filename = "world_map.png")Overview
This is a representation of the World Population 1950 vs 2030.