Explains continuous spatial phenomena and sampling in geographic information systems, covering properties of continuous variables and different sampling procedures.
Introduces geodata sources available on the internet, covering geoservers, digital elevation models, satellite imagery, and physical and human geography data.
Explores fractals, dimensions, and applications, including mountain formation simulation and landscape authoring through erosion and vegetation interplay.
Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.
Introduces decision trees for classification, covering entropy, split quality, Gini index, advantages, disadvantages, and the random forest classifier.
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.