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This lecture covers the fundamentals of Geographic Information Systems, focusing on data acquisition methods such as digitizing geographical space, acquiring elevation data, and characterizing topography. It also delves into the representation and visualization of geodata, including discrete and continuous variables, as well as the analysis of spatial phenomena. The lecture explores the use of digital elevation models for sampling, interpolation, and deriving ecological variables. Additionally, it discusses the storage, manipulation, and visualization of geospatial data, highlighting client-server architectures and visual variables. Various concepts such as discrete variables, data storage, and geovisualization are explained in detail.