Practical Spatial Modelling with inlabru

NCSE meeting 2025, St Andrews

Welcome to the course!

• Welcome to the inlabru workshop!
• The goal of this workshop is to introduce new users to the inlabru software for Bayesian spatial modelling using integrated nested Laplace approximation (INLA).

important⚠️

Please use the instructions provided here to install and check your installation before the course starts.

Learning Objectives for the workshop

By the end of the workshop, participants will have an understanding of:

• The inlabru workflow and software principles.
• The motivation for and the challenges of analysing and modelling spatial data.
• Different types of statistical models used to analyse different spatial data structures.
• The implementation of these models in the inlabru package

Intended audience

The workshop aims to cater for participants with a range of different backgrounds, who are interested in analysing data with modern spatial statistical modelling approaches using flexible and computationally efficient software.

Prerequisites

Participants should be familiar with the R environment, and general statistical approaches to statistical modelling, such as regression, analysis of (co)variance, and generalized linear models.

No knowledge of R-INLA or inlabru is required.

Schedule Program

Time	Topic
10:00 - 11:00	Session 1: Introduction to inlabru
11:00 - 12:00	Practical Session 1
12:00 - 13:00	Lunch
13:00 - 14:15	Session 2: Spatial Modelling with inlabru
14:15 - 15:30	Practical Session 2
15:30 - 15:45	Wrap-up and outlook