GAMs

This module provides an introduction into using Generalized Additive Models for spatial modeling.

Learning Objectives:

• Determine when to use GAMs
• Create spatial models using GAMs in R
• Use cross-validation and bootstrapping to test model performance against a data set

Activities

• Topic: GAMs
• Reading: Jensen, Winter distribution of blue crab Callinectes sapidus in Chesapeake Bay: application and cross-validation of a two-stage generalized additive model
  • Slides for discussion
• Reading (skim): Generalized Additive Models by Hastie and Tibshirani

Lab

Lab: Modeling with GAMs in R