Theme day

library(tidyverse)
tuesdata <- tidytuesdayR::tt_load(2023, week = 10)

numbats <- tuesdata$numbats

numbats%>%count(scientificName)

# devtools::install_github('bbc/bbplot')
library(bbplot)
# bbplot::bbc_style()

library(ozmaps)
library(sf)
oz_states <- ozmaps::ozmap_states
centroids <- oz_states%>%
  sf::st_centroid()%>%
  as_tibble()%>%
  filter(!NAME=="Other Territories")


mapdata <- oz_states%>%as_tibble()
# mapdata%>%count(NAME)

# nine colors
colors <- c("#1380A1","#cbcbcb",
            "#FAAB18","#990000", 
            "#588300","#d4a09f",
            "#d999fc","#83b3d2","#cc161d")

p <- ggplot() + 
  geom_sf_text(data = centroids,
          mapping = aes(geometry=geometry,
                        label=NAME),size=3) + 
  geom_sf(data = mapdata,
          mapping = aes(geometry=geometry,
                        fill=NAME),
          alpha=0.4,color="black",linewidth=0.1) + 
  scale_fill_manual(values = colors)+
  guides(fill="none")+
  ggnewscale::new_scale_fill()+
  geom_point(data= numbats,
             mapping=aes(x=decimalLongitude,y=decimalLatitude,
                         fill=scientificName),
             shape=21,stroke=0.3,size=3,
             color="grey",alpha=0.7) +
  ggthemes::scale_fill_fivethirtyeight()+
  coord_sf(clip = "off")+
   labs(title="Mapping the Habitat of the Endangered Numbat",
        subtitle="A Geographic Analysis of the Species' Distribution in Australia",
        caption = "DataViz: Federica Gazzelloni #30DayChartChallenge 2023 Day12 - Theme Day: BBC News")+
  bbplot::bbc_style()+
  ggthemes::scale_color_fivethirtyeight()+
  theme(text=element_text(size=12),
        plot.title = element_text(size=22),
        plot.subtitle = element_text(size=14),
        plot.caption = element_text(size=12),
        axis.text.x = element_blank(),
        axis.text.y = element_blank())

bbplot::finalise_plot(plot_name = p,
                      source_name = "Source: #TidyTuesday 2023 week10 Numbats in Australia",
                      save_filepath = "images/basemap.png")

library(cowplot)


ggdraw()+
  draw_image("images/basemap.png")+
  draw_image("images/numbat.png",
             scale=0.25,
             x=0.35)

ggsave("w10_NmiA.png")