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.
Empowering Students with SAGA GIS for Environmental Applications
At EAGLE Earth Observation, we are committed to equipping our students with the tools and knowledge needed to excel in the field of environmental science. As part of this effort, our students are exploring the power of various scientific open-source software packages...