Overview

This is a minimal Climate Raster Map for worldclim data and species distribution.

Download climate data with the worldclim_country() function from the {geodata} package. Then make the map with geom_spatraster() function from the {tidyterra} package.

library(tidyverse)
library(geodata)
library(terra)
library(tidyterra)
library(stars)
library(showtext)
library(sysfonts)

bio <- geodata::worldclim_tile(var="bio", 
                      lon=c(5.5),
                      lat=c(49),
                      path=tempdir())
# plot(bio)

bio_star <- bio%>%stars::st_as_stars()
file_path<- bio_star$tile_19_wc2.1_30s_bio.tif
temp_rast <- terra::rast(file_path)

# Display a single layer
names(temp_rast)

font_add_google(name = "Josefin Sans", family = "Josefin Sans")
showtext_auto()
showtext_opts(dpi = 320)

ggplot() +
  tidyterra::geom_spatraster(data = temp_rast, 
                  aes(fill = tile_19_wc2.1_30s_bio_14)) +
  coord_sf(crs = 4326,clip = "off") +
  scale_fill_hypso_c()+
  labs(title="Central Europe:\nBioclimatic variables",
       subtitle="Precipitation of Driest Month",
       caption="#30DayMapChallege 2023 Day 26 Minimal\nDataSource: geodata::worldclim_tile\nMap-Vis: @fgazzelloni")+
  ggthemes::theme_map()+
  theme(text=element_text(family="Josefin Sans"),
        plot.title = element_text(hjust=0.5,size=20,face="bold"),
        plot.subtitle = element_text(hjust=0.5,size=15),
        plot.caption = element_text(hjust=0.5,size=10),
        legend.background = element_rect(fill="#bfc0ca",color="#bfc0ca"),
        legend.direction = "horizontal",
        legend.position =c(0.5,0.1))

ggsave("day26_minimal.png",bg="#7781a6",width=4)