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Ecological Forecasting & Dynamics Course
Ecological Forecasting & Dynamics Course
  • Home
  • Lessons
  • Schedule
  • Syllabus
  • Getting Started
  • About
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  • Lessons
    • Course Introduction
    • Discussion Questions
    • Instructor Notes
    Paleoecological Dynamics
    • Reading
    • Discussion Questions
    • Instructor Notes
    R: Time and date data
    • Data & Software
    • R Tutorial
    Phenology
    • Reading
    • Discussion Questions
    • Instructor Notes
    R: Time series decomposition
    • Data & Software
    • R Tutorial
    Community Dynamics
    • Reading
    • Discussion Questions
    • Instructor Notes
    R: Time series autocorrelation
    • Data & Software
    • R Tutorial
    Intro to Time Series Data
    • Discussion Questions
    • Instructor Notes
    R: Time series modeling 1
    • Data & Software
    • R Tutorial
    R: Time series modeling 2
    • Data & Software
    • R Tutorial
    R: Time series modeling 3
    • Data & Software
    • R Tutorial
    Range shifts
    • Reading
    • Discussion Questions
    • Instructor Notes
    Intro to Ecological Forecasting
    • Reading & Video
    • Discussion Questions
    • Instructor Notes
    R: Forecasting
    • Data & Software
    • R Tutorial
    Uncertainty
    • Reading
    • Discussion Questions
    • Instructor Notes
    No Class
    • Discussion Questions
    • Instructor Notes
    R: Forecast evaluation
    • Data & Software
    • R Tutorial
    R: Forecast evaluation 2
    • Data & Software
    • R Tutorial
    Intro to GAMS
    • Material
    • Discussion Questions
    • R Tutorial
    • Instructor Notes
    Fitting time-series GAMS in R
    • Material
    • Discussion Questions
    • R Tutorial
    • Instructor Notes
    Forecasting with GAMs in R
    • Material
    • Discussion Questions
    • R Tutorial
    • Instructor Notes
    Ask us anything 2
    • Discussion Questions
    • Instructor Notes
    Species Distribution Models
    • Reading
    • Discussion Questions
    • Instructor Notes
    R: Species Distribution Models
    • Data & Software
    • R Tutorial
    • Supplemental Code
    Hurricane Forecasts
    • Reading
    • Discussion Questions
    • Instructor Notes
    Election forecasts
    • Reading
    • Discussion Questions
    • Instructor Notes
    State Space Models in Ecology
    • Reading & Video
    • Discussion Questions
    • Instructor Notes
    R: Complex Time-Series Models 1
    • Data & Software
    • R Tutorial
    R: Complex Time-Series Models 2
    • Data & Software
    • R Tutorial
    • R Tutorial
    • R_tutorial_new_notes
    R: State Space Models 1
    • Data & Software
    • R Tutorial
    • R Tutorial Part 1
    • R_tutorial_new
    • R_tutorial_new_notes
    Data-driven models
    • Reading & Video
    • Discussion Questions
    • Instructor Notes
    R: Empirical Dynamic Modeling
    • Data & Software
    • R Tutorial
    R: State Space Models 2
    • Data & Software
    • R Tutorial Part 2
    Forecasting scenarios
    • Reading
    • Discussion Questions
    • Instructor Notes
    Forecasting Ethics
    • Reading
    • Discussion Questions
    • Instructor Notes
    Course wrap up
    • Reading
    • Discussion Questions
    • Instructor Notes
    Iterative Forecasting
    • Reading
    • Discussion Questions
    • Instructor Notes
    Lesson Template
    • Material
    • Discussion Questions
    • R Tutorial
    • Instructor Notes
  • Contents

Introduction to Generalized Additive Models (GAMs)

Learning Objectives:

  • First lesson objective
  • Second lesson objective
  • Material
  • Discussion Questions
  • R Tutorial
  • Instructor Notes

Last updated on Aug 21, 2023

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