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The document introduces Geographically Weighted Regression (GWR), a method designed to address spatial nonstationarity by allowing regression parameters to vary across different locations. It discusses the limitations of traditional regression models that assume constant relationships across space and proposes GWR as a more flexible alternative that provides localized parameter estimates. The paper also outlines statistical tests for assessing spatial nonstationarity and demonstrates the application of GWR

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anhtung4600

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EN