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 MSc Defense “Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda”
On September 16, 2025, Jean de Dieu Tuyizere will present his Master Thesis on "Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda" at 12:00 in seminar room 3, John-Skilton-Str. 4a From the abstract:...