library(tidyverse)
library(rnaturalearth)
# world data full
world_full <- ne_countries(scale = "medium", returnclass = "sf")
# world lat&long
world<-map_data(map = "world")
my_world_data<- world %>%
full_join(world_full, by = c("region"="name")) %>%
select(long,lat,group,order,region,region_wb)
# grob for globe water
g <- grid::circleGrob(gp = grid::gpar(fill = "#9ad6f0",color="gray30"))
world<-ggplot() +
geom_polygon(data=my_world_data,
aes(x=long,y=lat,group=group),
fill="gray30",color="black",size=0.09) +
coord_map("ortho", orientation = c(65.85, -130.21,0)) +
theme_void()
world
library(cowplot)
globe <- ggdraw() +
draw_grob(g, scale = 1,x = 0,y = 0) +
draw_plot(world) +
draw_label("Globe",x=0.1,y=0.93,
size=22,
color="#9ad6f0")+
draw_label("#30DayMapChallenge 2022 Day 19: Globe\nDataSource: {rnaturalearth} | Map: Federica Gazzelloni (@fgazzelloni)",
x=0.99,y=0.02,size=6,
hjust=1,
color="#9ad6f0")
globe
ggsave("day19_globe.png",
width=7.5,
height= 7.5,
dpi=320,
bg="grey10")