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.
Master Thesis Presentation: Analysis of Urban Heat Development in Dresden, Germany using Landsat Data from the Past Decade
On Tuesday, May 28, Ina Schulz will defend her master thesis " Analysis of urban heat development in Dresden, Germany using Landsat data from the past decade" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: As the number of urban residents is...