Permutation tests are a type of non-parametric statistical method used to determine the significance of an observed effect by comparing it to the distribution of effects generated by rearranging the data. This technique allows for robust hypothesis testing without making strong assumptions about the underlying data distribution, making it particularly useful in environmental and spatial statistics where data can be complex and varied.
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