Geostatistical Modeling of Martian Dunes with R-INLA

1. Introduction to R

Learning basic knowledge to program in R and getting familiarized with the dataset (dunes on the planet Mars).

2. Spatial data

Immersion into the world of spatial statistics, a branch of statistics that studies spatial data. Acquisition of fundamental knowledge on spatial data and introduction to key concepts in spatial modeling with a focus on geostatistical models.

3. Bayesian statistics

A gentle introduction (mathematic formulations kept to a minimum) to Bayesian statistics to get the necessary knowledge to build, interpret, and fine tune geostatistical models with R-INLA.

4. Bayesian Geostatistical Modeling with R-INLA

Learning how to code and interpret the results of Bayesian geostatistical models applied to Martian dunes.