Summer school schedule

Arrival is possible from Sunday evening until Monday 12 pm. The summer school will start immediately on Monday morning, but the schedule is organized so that arrivals until 12 pm will only miss basic (introductory) material. Only a coarse schedule of the summer school is provided here. Further details will be provided on the first day of summer school. The summer school will contain both lectures that provide background, and practical sessions that focus on writing R-code and applying methods to datasets.

Day 1

Welcome and introduction

Ecological concepts for multivariate data

Recap of Generalized Linear Models

Exercise 1: Fitting GLMs

Introduction to statistical models for multiple species

Vector Generalised Linear Models

Exercise 2: Fitting (V)GLMs with the gllvm R-package

Day 2

Overview and background of the gllvm R-package

Exercise 3: Vector GLMMs with the gllvm R-package

Generalized Linear Mixed-effects Models

Background of Joint Species Distribution Models

Exercise 4: Fitting a JSDM with the gllvm R-package

Day 3

Background of ordination methods

Practical 4: Unconstrained ordination

Bringing covariates into the ordination

Exercise 5: Constrained and concurrent ordination

Accommodating spatial and temporal autocorrelation

Exercise 6: Model validation and accommodating nested study designs

Day 4

GLLVMs from A-Z: application, results, and inference

Student presentations

Excursion

Day 5

Concepts in model-based clustering

Other packages for (model-based) multivariate analysis

Exercise 7: Comparison with other ordination methods

Recap, Questions, Answers, and Discussion session

Analysis of own data

Wrapping up