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.
Welcome to our new EAGLEs – Embarking on an Earth Observation Journey
As the autumn term begins and the leaves turn golden across Europe, we are pleased to welcome a fresh cohort of EAGLEs—our new MSc students in Earth Observation and Geoinformatics. This year’s group brings together curious minds from diverse academic and cultural...









