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.
EORC Staff and EAGLE Students at ESA Living Planet Symposium 2025
This week, our EORC team and EAGLE MSc students are joining the global Earth observation community at the ESA Living Planet Symposium (LPS) 2025 — one of the most important gatherings for Earth system scientists, remote sensing experts, and space agencies worldwide....