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Autocorrelation and Spatial Dependence
This lecture introduces the concepts of autocorrelation and spatial dependence in Geographic Information Systems, covering topics such as spatial arrangement, global spatial autocorrelation, digital elevation models, and the quantification of spatial regularity. The instructor discusses the challenges of modeling urban growth and the use of statistical methods to measure spatial structure. The lecture also explores the impact of spatial dependence on linear regression analysis and the importance of considering historical data in modeling. Various examples and equations are provided to illustrate the concepts discussed.