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00-Course-intro.html
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<!DOCTYPE html>
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<head>
<title>Generalized Additive Models</title>
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class: inverse, middle, left, my-title-slide, title-slide
# Generalized Additive Models
### Nov 2,4 & 9, 2021
---
# Before we get started:
* Make sure you have R open, and the working directory set to where you put the files we sent out
* If you are in RStudio, you can just open the project file
--
* The following packages should be installed:
* `dplyr` and `tidyr` for data manipulation
* `ggplot2` for visualization
* `gratia` (for visualizing GAMs)
---
# Who I am
.left-column[
<img src="figures/epedersen.jpg" width="333" />
]
.right-column[
Assistant professor at Concordia University in Montreal. I study rapid change in aquatic ecosystems, and developing methods for monitoring spatially structured communities
]
---
# This workshop would not be possible except for these fantastic people:
.left-column[
<img src="figures/collaborator images.jpg" width="681" />
]
.right-column[
.small[David Lawrence Miller (Centre for Research into Ecological & Environmental Modelling, St Andrews University)]
----------------------------
.small[Gavin Simpson (Department of Animal Science, Aarhus University)]
----------------------------
.small[Noam Ross (Ecohealth Alliance)]
----------------------------
]
---
# How I'll be running the workshop:
* Three sessions over 3 days
--
* Each session will include:
* A short presentation on theory
* Live coding
* Exercises
--
* The presentation will be recorded, and I'll provide answers to the exercises after each day
---
# How I'll be running the workshop:
**Day 1 (today): What's a GAM?**
* Intro to GAM theory: basis functions and smoothing
* Some useful types of smoothers
--
**Day 2 (Thursday): extending GAMs **
* Choosing families to model complex data
* multi-dimensional smoothers and interactions
--
**Day 3 (next Tuesday): **
* Making predictions and evaluating uncertainty
* Model selection and mispecification testing
---
# How I'll be running the workshop:
* If you have any questions, raise your hand or put a question in chat;
I'll be checking the chat regularly
--
* We'll take a break after the first hour and 15 min
---
# Now on to the workshop!
</textarea>
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