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.
Integrating R and Whitebox Tools for Geospatial Analysis
Within the EAGLE M.Sc. program our Earth Observation students have managed to understand some important research approaches within just the first term of their studies. Integrating and working with several environments simultaneously is a critical tasks for their...
