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.
Mastering Scientific Presentations: How EAGLE MSc Students Elevate Their Soft Skills
In the world of science, research is only as powerful as its communication. At the EAGLE MSc program, we recognize that technical expertise alone isn’t enough—soft skills like scientific writing, visual storytelling, and presentation skills are just as crucial. That’s...
