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 multiresponse permutation procedure to work through a series of applications in atmospheric science, epidemiology, ecology, and archeology.
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© 2000 Springer Science+Business Media New York
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Good, P. (2000). Clustering in Time and Space. In: Permutation Tests. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3235-1_8
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DOI: https://doi.org/10.1007/978-1-4757-3235-1_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3237-5
Online ISBN: 978-1-4757-3235-1
eBook Packages: Springer Book Archive