Australian Frogs

geography
maps
frogs
animals
Frog diversity in Australia
Author

Cole Baril

Published

September 2, 2025

Load Packages

require(pacman)
p_load(tidytuesdayR, trashpanda, magick, tidyverse, janitor, tidytext, extrafont, slider, here, TTR, sf, rnaturalearth, rnaturalearthdata, patchwork, hexbin)

Load Data

tuesdata <- tidytuesdayR::tt_load('2025-09-02')
frogs <- tuesdata$frogID_data
frog_names <- tuesdata$frog_names

Clean Data

frogs <- frogs |>
  clean_names() 

frogs_unique <- frogs %>%
  distinct(decimal_longitude, decimal_latitude, scientific_name)

aus_states <- ne_states(country = "australia", returnclass = "sf") |> 
  filter(name != "Macquarie Island")

Plot

plot <- ggplot(frogs_unique, aes(x = decimal_longitude, y = decimal_latitude)) +
  stat_summary_hex(
    aes(z = as.numeric(factor(scientific_name))),
    fun = function(x) length(unique(x)),
    bins = 50
  ) +
  geom_sf(data = aus_states, fill = NA, colour = "black", size = 0.5, inherit.aes = FALSE) +
  coord_sf() +
  scale_fill_viridis_c(option = "plasma") +
  labs(
    title = "Australian Frog Species Richness",
    subtitle = "Number of unique frog species recorded per hexagon across Australia in 2023",
    fill = "Species Richness") +
  theme_void() +
  add_caption_cwb(type = "plot", include_data_source = TRUE, data_source = "Australian Society of Herpetologists") +
  theme(
    plot.background = element_rect(fill = "grey99", color = NA),
    plot.title = element_text(face = "bold", size = 25, hjust = 0.5),
    plot.subtitle = element_text(size = 15, hjust = 0.5),
    legend.position = "top",
    legend.key.width = unit(3, "lines"),
    legend.title = element_text(face = "bold", size = 15, hjust = 0.5),
    legend.title.position = "top",
    legend.text = element_text(size = 12),
    plot.margin = margin(10, 10, 10, 10)
  )

# Save and display images
current_dir <- dirname(knitr::current_input())
plot_name <- "australian_frogs.png"

ggsave(plot = plot, 
       dpi = "screen",
       width = 18,
       height = 18,
       device = ragg::agg_png,
       filename = file.path(current_dir, plot_name))


# Read the big plot
img <- image_read(file.path(current_dir, plot_name)) 


# Force 16:9 aspect ratio with minimal padding
# Target size: 1200x675 px (16:9)
img_card <- image_scale(img, "1200x675")           # scale to fit inside 16:9
img_card <- image_extent(
  img_card,
  geometry = "1200x675",
  gravity = "center"
)

# Save as card preview
image_write(img_card, path = file.path(current_dir, "preview.png"))

knitr::include_graphics(
  file.path(current_dir, plot_name)
)

References

trashpanda::cite_packages(format = "rmd")

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