Abstract
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.
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© 1994 Springer Science+Business Media New York
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Good, P. (1994). Clustering in Time and Space. In: Permutation Tests. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2346-5_8
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DOI: https://doi.org/10.1007/978-1-4757-2346-5_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2348-9
Online ISBN: 978-1-4757-2346-5
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