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.
Across Cohorts and Borders: EAGLE Students Celebrate the Winter Term Together
As the winter term ends, the international students of our EAGLE M.Sc. programme gathered for an evening that was less about deadlines and data and more about community. After months of intensive coursework and research, the celebration offered a warm pause in their...









