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.
Successful MSc Thesis Defense by Ronja Seitz on UAV-Based Monitoring of High-Arctic Tundra Dynamics
We warmly congratulate Ronja Seitz on the successful defense of her MSc thesis, which tackled one of the most pressing environmental challenges of our time: the rapid warming of the high Arctic. Her research focused on Svalbard, one of the fastest-warming regions on...
