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.
M.Sc. Student Clara Vydra Begins Thesis Field Work on Alpine Water Resources
We’re pleased to share that our M.Sc. student Clara Vydra has recently begun her thesis field work in the Austrian Alps in collaboration with the German Alpine Association (DAV) and the German Aerospace Center (DLR). Her research focuses on the impacts of climate...