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 student Konstantin Müller completedan internship at IRIDeS in Japan
Our EAGLE M.Sc. student Konstantin Müller successfully completed a three-month internship at The International Research Institute for Disaster Science (IRIDeS) in Japan. IRIDeS is a leading institute dedicated to advancing research and understanding in the field of...