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This lecture explores the concept of spatial dependence, emphasizing the influence of nearby locations on each other. It delves into spatial autocorrelation, quantifying spatial regularity, and differentiating between observed and random spatial distributions. The instructor discusses Tobler's first law of geography and the paradox of near things being more related than distant ones. The lecture also covers classic statistical methods, bias in linear regression due to spatial dependence, and the importance of considering spatial influence in statistical analysis.