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.
Mapping Fire from the Sky – Anna Bischof’s MSc Thesis on Savanna Fire Patterns
Wildfires are an essential ecological process in African savannas, shaping landscapes, influencing biodiversity, and playing a key role in nutrient cycling. Understanding their dynamics is crucial for both science and management – and this is where EAGLE MSc student...