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.
[software] Spatial Earth Observation R packages by our EAGLEs
Our EAGLE students that took and passed our Introduction to spatial programming course had to submit an R package that applies spatial methods for a variety of Earth Observation data. We are very proud to show the huge diversity of very interesting and useful R...