Clustering in Time and Space
In this chapter, you learn how to detect clustering in time and space and to validate clustering models. We use the generalized quadratic form in its several guises including Mantel’s U and Mielke’s multi-response permutation procedure to work through a series of applications in atmospheric science, epidemiology, ecology, and archeology.
KeywordsArchaeological Artifact Permutation Distribution Interpoint Distance Sample Correlation Matrix Symmetric Volume
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