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.
EAGLE Internship Presentation: Remote sensing for Ecological Applications in the High Arctic
On April 13, 2026, Clara Vydra will present her internship results on " Remote sensing for Ecological Applications in the High Arctic" at 15:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship focused on supporting Master students in their...









