---
title: "Rise and Fall of Trilobites: Fossil Records Over Time"
subtitle: "Exploring the dramatic rise and fall of one of Earth's most successful early arthropod groups"
description: "Visualizing 250 million years of trilobite fossil records from the Paleobiology Database, showing how these ancient arthropods dominated the Ordovician seas before declining after major extinction events."
date: "2025-04-21"
categories: ["30DayChartChallenge", "2025"]
tags: [
"paleontology", "trilobites", "extinction events", "paleobioDB", "fossil records", "timeseries", "ggplot2", "evolutionary history", "Ordovician", "Silurian", "Devonian"
]
image: "thumbnails/30dcc_2025_21.png"
format:
html:
toc: true
toc-depth: 5
code-link: true
code-fold: true
code-tools: true
code-summary: "Show code"
editor_options:
chunk_output_type: inline
execute:
freeze: true
cache: true
error: false
message: false
warning: false
eval: true
# filters:
# - social-share
# share:
# permalink: "https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_21.html"
# description: "Day 21 of #30DayChartChallenge: Exploring trilobite fossil records over 250 million years, revealing their rise during the Ordovician and decline following major extinction events."
# twitter: true
# linkedin: true
# email: true
# facebook: false
# reddit: false
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# bsky: true
---
{#fig-1}
### <mark> **Steps to Create this Graphic** </mark>
#### 1. Load Packages & Setup
```{r}
#| label: load
#| warning: false
#| message: false
#| results: "hide"
## 1. LOAD PACKAGES & SETUP ----
suppressPackageStartupMessages({
pacman::p_load(
tidyverse, # Easily Install and Load the 'Tidyverse'
ggtext, # Improved Text Rendering Support for 'ggplot2'
showtext, # Using Fonts More Easily in R Graphs
janitor, # Simple Tools for Examining and Cleaning Dirty Data
skimr, # Compact and Flexible Summaries of Data
scales, # Scale Functions for Visualization
lubridate, # Make Dealing with Dates a Little Easier
paleobioDB, # Download and Process Data from the Paleobiology Database # Download and Process Data from the Paleobiology Database
ggrepel, # Automatically Position Non-Overlapping Text Labels with 'ggplot2'
camcorder # Record Your Plot History
)
})
### |- figure size ----
gg_record(
dir = here::here("temp_plots"),
device = "png",
width = 8,
height = 8,
units = "in",
dpi = 320
)
# Source utility functions
suppressMessages(source(here::here("R/utils/fonts.R")))
source(here::here("R/utils/social_icons.R"))
source(here::here("R/utils/image_utils.R"))
source(here::here("R/themes/base_theme.R"))
```
#### 2. Read in the Data
```{r}
#| label: read
#| include: true
#| eval: true
#| warning: false
# Search for fossil occurrences of trilobites
trilobites <- pbdb_occurrences(
base_name = "Trilobita",
show = c("time", "coords", "phylo"),
limit = "all"
)
```
#### 3. Examine the Data
```{r}
#| label: examine
#| include: true
#| eval: true
#| results: 'hide'
#| warning: false
glimpse(trilobites)
skim(trilobites)
```
#### 4. Tidy Data
```{r}
#| label: tidy
#| warning: false
### |- Tidy ----
trilo_time_binned <- trilobites |>
filter(!is.na(eag), !is.na(lag)) |>
mutate(
mid_ma = (eag + lag) / 2,
bin_5ma = floor(mid_ma / 5) * 5 ,
bin_10ma = floor(mid_ma / 10) * 10
) |>
count(bin_5ma) |>
arrange(desc(bin_5ma))
```
#### 5. Visualization Parameters
```{r}
#| label: params
#| include: true
#| warning: false
### |- plot aesthetics ----
colors <- get_theme_colors(
palette = c(
"#D95F02" ,
"gray20"
)
)
### |- titles and caption ----
# text
title_text <- str_wrap("Rise and Fall of Trilobites: Fossil Records Over Time",
width = 55)
subtitle_text <- str_wrap("Exploring the dramatic rise and fall of one of Earth's most successful early arthropod groups",
width = 85)
caption_text <- create_dcc_caption(
dcc_year = 2025,
dcc_day = 21,
source_text = "{ paleobioDB } R package"
)
### |- fonts ----
setup_fonts()
fonts <- get_font_families()
### |- plot theme ----
# Start with base theme
base_theme <- create_base_theme(colors)
# Add weekly-specific theme elements
weekly_theme <- extend_weekly_theme(
base_theme,
theme(
# Axis elements
axis.title.y = element_text(color = colors$text, size = rel(0.8), margin = margin(r = 10)),
axis.text = element_text(color = colors$text, size = rel(0.7)),
axis.line.x = element_line(color = "black"),
axis.ticks.x = element_line(color = "black"),
# Grid elements
panel.grid.minor = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.major.y = element_line(color = "gray92"),
# Legend elements
legend.position = "plot",
legend.title = element_blank(),
legend.text = element_text(family = fonts$text, size = rel(0.7)),
# Facet elements
strip.background = element_rect(fill = "gray90", color = NA),
strip.text = element_text(face = "bold", size = rel(1), margin = margin(10, 0, 10, 0)),
# Plot margins
plot.margin = margin(t = 10, r = 20, b = 10, l = 20),
)
)
# Set theme
theme_set(weekly_theme)
```
#### 6. Plot
```{r}
#| label: plot
#| warning: false
### |- Plot ----
p <- ggplot(trilo_time_binned, aes(x = bin_5ma, y = n)) +
# Geoms
geom_area(fill = colors$palette[1], alpha = 0.2) +
geom_line(color = colors$palette[1], linewidth = 1.5) +
geom_point(color = colors$palette[1], size = 1.5, alpha = 0.7) +
geom_vline(xintercept = 444, linetype = "dashed", color = colors$palette[2], alpha = 0.4, linewidth = 0.7) +
geom_vline(xintercept = 372, linetype = "dashed", color = colors$palette[2], alpha = 0.4, linewidth = 0.7) +
# Annotate
annotate("text",
x = 444, y = 5000,
label = "Ordovician Extinction",
color = colors$palette[2], hjust = 1.1, size = 3.5
) +
annotate("text",
x = 372, y = 5000,
label = "Devonian Extinction",
color = colors$palette[2], hjust = 1.1, size = 3.5
) +
annotate("text",
x = 475, y = -283.8,
label = "Ordovician", fontface = "italic", size = 4
) +
annotate("text",
x = 425, y = -283.8,
label = "Silurian", fontface = "italic", size = 4
) +
annotate("text",
x = 390, y = -283.8,
label = "Devonian", fontface = "italic", size = 4
) +
# Scales
scale_x_reverse(
limits = c(520, 250),
breaks = seq(500, 250, by = -50),
minor_breaks = seq(500, 250, by = -10)
) +
scale_y_continuous(
limits = c(-max(trilo_time_binned$n) * 0.1, max(trilo_time_binned$n) * 1.1),
expand = c(0, 0)
) +
# Labs
labs(
title = title_text,
subtitle = subtitle_text,
caption = caption_text,
x = "Millions of Years Ago (Ma)",
y = "Number of Recorded Fossil Occurrences",
) +
# Theme
theme(
plot.title = element_text(
size = rel(1.8),
family = fonts$title,
face = "bold",
color = colors$title,
margin = margin(t = 5, b = 5)
),
plot.subtitle = element_text(
size = rel(0.85),
family = fonts$subtitle,
color = colors$subtitle,
lineheight = 1.2,
margin = margin(t = 5, b = 15)
),
plot.caption = element_markdown(
size = rel(0.6),
family = fonts$caption,
color = colors$caption,
lineheight = 0.65,
hjust = 0.5,
halign = 0.5,
margin = margin(t = 10, b = 5)
),
)
```
#### 7. Save
```{r}
#| label: save
#| warning: false
### |- plot image ----
save_plot(
p,
type = "30daychartchallenge",
year = 2025,
day = 21,
width = 8,
height = 8
)
```
#### 8. Session Info
::: {.callout-tip collapse="true"}
##### Expand for Session Info
```{r, echo = FALSE}
#| eval: true
#| warning: false
sessionInfo()
```
:::
#### 9. GitHub Repository
::: {.callout-tip collapse="true"}
##### Expand for GitHub Repo
The complete code for this analysis is available in [`30dcc_2025_21.qmd`](https://github.com/poncest/personal-website/blob/master/data_visualizations/TidyTuesday/2025/30dcc_2025_21.qmd).
For the full repository, [click here](https://github.com/poncest/personal-website/).
:::
#### 10. References
::: {.callout-tip collapse="true"}
##### Expand for References
1. Data Sources:
- Paleobiology Database { paleobioDB } [indicator = Trilobita)](https://github.com/ropensci/paleobioDB)
:::