Welcome to Module 2: Paleodiversity Analyses in R! Across these two days, we’ll focus on how to analyse biodiversity in deep-time through theoretical introductions, hands-on exercises, and mini-assigments in R.

When What
Aug 24 Day 3: Community diversity
Aug 25 Day 4: Exploring fossil occurrence data and fossil record biases



Day 3: Community diversity

with Wolfgang Kiessling


Purpose

  • Introduction to paleodiversity analyses (theory)
  • Statistics and diversity metrics
  • Mini-assignments in R

Slideshow

R code

Datasets

Reading list

Click to download



Day 4: Exploring fossil occurrence data and fossil record biases

with Emma Dunne


Schedule

Start End Topic
10:00 10:30 Part 1: Intro to paleodiversity
10:30 10:45 COFFEE
10:45 12:00 Part 2: The Paleobiology Database
12:00 13:30 LUNCH
13:30 15:00 Part 3: Fossil record biases
15:00 15:15 COFFEE
15:15 16:30 Part 3: Fossil record biases cont.
16:30 17:00 Questions, discussions, etc.

Main topics:

  • General introduction to the field of analytical paleobiology (its past, present, and future)
  • Exploration of the Paleobiology Database
  • Accessing and cleaning PBDB occurrence data
  • Overview of fossil record biases
  • Exploring and plotting occurrence data and sampling patterns in R

Part 1

Part 2

Part 3

Reading list

  • Coming soon!

Useful tools: