Synopsis
Odland introduces spatial autocorrelation to the reader in a concise and readable fashion. He explains why it occurs, why it violates the basic assumptions of statistical inference, and how to tell when it occurs. He demonstrates how spatial statistics can be used in diagnosing and correcting problems which arise when common statistical methods such as regression analysis are applied to spatially arrayed measurements.
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