Today our EAGLE students applied data munging, pipes, plotting and statistics using colour distribution of sweets. They specifically used the dplyr, ggplot, kableExtra and others to compute derivatives, rearrange the data, plot it and run statistics on colour distribution differences between different sweet packages. After this initial task of the course “spatial prediction and modelling” actual spatial prediction of in-situ point data combined with remote sensing data will be performed. This course will cover a wide range of approaches and packages to run spatial models and predict them spatially and temporally.
[spotlight] Lecturer Spotlight: Thilo Erbertseder
Thilo is the person at EORC who can tell you exactly how much air pollution was hanging over a given megacity in any given year since the 1990s, and what that actually meant for the people living there. He teaches atmospheric composition and urban remote sensing at...

![[spotlight] Lecturer Spotlight: Thilo Erbertseder](https://eagle-science.org/wp-content/uploads/2026/10/Thilo_Lecturer_Portrait_EAGLE_EORC_2026-400x250.jpg)




![[Spotlight] Lecturer Spotlight: Julian Faeth](https://eagle-science.org/wp-content/uploads/2026/10/Julian_Faeth_EORC_EAGLE_2026-400x250.jpg)


