This lecture introduces spatial autocorrelation and dependence in geographic information systems, covering properties of discrete variables, basic elements of digital elevation models, data overlay techniques, and the limitations of classical statistics in a geospatial context. It explains the concept of spatial dependence, presents the paradox related to classical statistics prerequisites, and highlights biases caused by using classical statistics in a geographic context.