Welcome to the course!
- Welcome to the
inlabruworkshop in Dodoma! - The aim of this workshop is to introduce you to a range of statistical modelling approaches, and how temporal, spatial and spatio-temporal models can be fitted using the
inlabrupackage. - Workshop materials are available in the github repository.
WarningImportant! ⚠️
Please use the instructions provided here to install and check your installation before the course starts.
Learning Objectives for the workshop
At the end of the workshop, participants will have an understanding of:
- the motivation for and the challenges of analysing and modelling spatial data
- statistical models used to analyse spatial and spatio-temporal data
- the implementation of these models in the
inlabrupackage - how to independently analyse spatial data with
inlabru
Intended audience
The workshop aims to cater for participants with a range of different backgrounds, who are interested in analysing data with modern spatial and spatio-temporal statistical modelling approaches.
Prerequisites
Participants should be familiar with the R environment, and general statistical approaches for modelling such as regression, analysis of (co)variance, and generalized linear models.
No knowledge of R-INLA or inlabru is required.
Schedule
| Time | Topic |
|---|---|
| 9:00 - 9:30 | Welcome and introduction to the course |
| 9:30 - 10:30 | Session 1: Introduction to inlabru |
| 10:30 - 10:45 | Coffee break ☕ |
| 10:45 - 12:00 | Practical Session 1 |
| 12:00 - 13:00 | Session 2: The inlabru workflow |
| 13:00 - 14:30 | Lunch 🍽️ |
| 14:30 - 15:30 | Practical Session 2 |
| 15:30 - 15:45 | Coffee break ☕ |
| 15:45 - 17:00 | Session 3: Time Series Models |
| Time | Topic |
|---|---|
| 9:00 - 10:30 | Practical Session 3 |
| 10:30 - 11:00 | Coffee break ☕ |
| 11:00 - 12:00 | Session 4: Introduction to Spatial Statistics |
| 12:00 - 13:00 | Practical Session 4 |
| 13:00 - 14:30 | Lunch 🍽️ |
| Time | Topic |
|---|---|
| 11:00 - 12:00 | Session 5: Areal processes |
| 12:00 - 1:00 | Session 6: Geostatistics |
| 13:00 - 14:30 | Lunch 🍽️ |
| 14:30 - 15:50 | Session 7: Point Processes |
| 15:30 - 17:00 | Practical Session 5 |
| Time | Topic |
|---|---|
| 09:00 - 10:00 | Session 8: Spatiotemporal models |
| 10:00 - 11:00 | Session 9: Model comparison and evaluation |
| 11:00 - 12:00 | Coffee break ☕ |
| 12:00 - 13:00 | Practical Session 6 |
| 13:00 - 14:30 | Lunch 🍽️ |
| 14:40 - 15:30 | Session 10: Multi-likelihood/joint likelihood models |
| 15:30 - 16:00 | Closing session and discussion |
| 16:00- 17:00 | Practical Session 7 & General practice |
Licence
Citation
Contact
Questions about the workshop? Join the discussion on GitHub Discussions space