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.
🦅 Don’t Miss the EAGLE M.Sc. Application Deadline – May 15
The deadline to apply for the EAGLE M.Sc. “Applied Earth Observation and Geoanalysis of the Living Environment” program is approaching quickly - applications must be submitted before midnight May 15th (CEST) for a winter term start in October. Located at our EORC at...
