[R-sig-eco] Applied Spatial and Spatial Temporal Modelling using R-INLA

[Oliver Hooker]

*Advance Your Data Science Skills with Applied Spatial and Spatial Temporal
Modelling using R-INLA*

Are you looking to take your spatial data analysis skills to the next level?

Join our Spatial and Spatial-Temporal Modelling using R-INLA
<https://www.prstats.org/course/spatial-and-spatial-temporal-modelling-using-r-inla-sstm02/>course,
designed for researchers and data professionals working with spatial and
spatiotemporal data in ecology, epidemiology, environmental science, and
beyond.

*Course dates:* 22-26 September 2025

Led by *Prof. Virgilio Gómez Rubio*, a leading expert in Bayesian spatial
modelling and author of *Bayesian Inference with INLA
<https://www.routledge.com/Bayesian-inference-with-INLA/Gomez-Rubio/p/book/9781138039872>*,
this 5-day course will give you hands-on experience with:

   -

   Building spatial and spatiotemporal models using the *INLA package in R*
   -

   Understanding model structures for real-world applications
   -

   Working with spatial datasets using real examples and guided exercises
   -

   Applying best practices for reproducible, interpretable analysis

*Why attend?*

Small group learning, direct access to an expert tutor, and practical
sessions designed to build confidence in implementing these advanced
methods.

Whether you’re a PhD student, academic researcher, or industry analyst,
this course will provide you with the skills and understanding to apply
spatial modelling in your work immediately.

*Places are limited – book now to secure your spot.*

Full course details and registration
<https://www.prstats.org/course/spatial-and-spatial-temporal-modelling-using-r-inla-sstm02/>

If you have any questions, contact Oliver Hooker at:
*oliverhooker using prstatistics.com
<oliverhooker using prstatistics.com>*


-- 
Oliver Hooker PhD.
PR stats

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