Short course "Spatial and Spatio-Temporal Bayesian Models with R-INLA"
12-15 January 2016
University of Bergamo (Italy)
Dr. M. Blangiardo - Imperial College London (www.imperial.ac.uk/people/m.blangiardo)
Dr. M. Cameletti - Università di Bergamo (www.unibg.it/pers/?michela.cameletti)
Dr. V. Gómez Rubio - Universidad de Castilla-La Mancha (www.uclm.es/profesorado/vgomez)
The course aims at providing an introduction to Bayesian analysis for
spatial and spatio-temporal modelling using the R software and R-INLA.
The first day of the course will be dedicated to standard spatial analysis
with R for different types of data: this includes data import/export, data
management and visualisation for geostatistical, area and point pattern
In the following days the theoretical aspects of the Bayesian approach will
be introduced, with a particular focus on spatial and spatio-temporal
models and on the Integrated Nested Laplace Approximation (INLA,
www.r-inla.org) approach, which has proven to be a valid alternative to the
commonly used Markov Chain Monte Carlo simulations. A particular emphasis
will be given on examples of applied analysis using the R-INLA package.
The course timetable is a mixture of lectures and computer practicals based
on the following two books:
- Applied spatial data analysis with R (www.asdar-book.org)
- Spatial and spatio-temporal Bayesian models with R-INLA (
The course fee is 200 Euro for PhD students, 300 Euro for Academia / Public
sector and 500 Euro for Private Sector. The fee includes course material,
coffee breaks, lunches and the social dinner.
For further information and the registration form, please visit the