EAGLE students coding with sweets

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.

read more news:

Learning Geospatial Tools in Practice: whitebox

Learning Geospatial Tools in Practice: whitebox

A central goal of the EAGLE Earth Observation programme is to equip students with a broad and practical understanding of the software tools used in geospatial analysis. Rather than focusing on a single platform, students are encouraged to explore different approaches,...

From Satellites to Snow Angels

From Satellites to Snow Angels

Our EAGLE M.Sc. students, coming from all over the world, are making the most of the short breaks between courses. Whether it’s spontaneous snow angel sessions or friendly snowball fights around the EORC, laughter and flying snow are never far away. These moments of...

Where Learning Meets Friendship

Where Learning Meets Friendship

At EAGLE, studying together is only part of the story. Our students are more than classmates — they’re hiking buddies, party companions, and the kind of people who show up to lectures with birthday cakes 🎂. Today was a perfect example. Our EAGLE student...