Abstract
Sediment grain-size distributions can be represented in a discrete form, as vectors of coregionalized size-class abundances. Since the number of classes may be large and abundances in adjacent classes may be highly cross-correlated, practical simulation of regionalized grain-size distributions requires an efficient method for de-correlating and reducing the number of variables. Using an example based on detailed grain-size measurements from the Las Cruces Trench Site, this study demonstrates features of Min/Max Autocorrelation Factors that make them a superior alternative to Principal Components for dimensional reduction and decorrelation in simulations of coregionalized variables.
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Desbarats, A.J. (2001). Geostatistical Modeling of Regionalized Grain-Size Distributions Using Min/Max Autocorrelation Factors. In: Monestiez, P., Allard, D., Froidevaux, R. (eds) geoENV III — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0810-5_38
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DOI: https://doi.org/10.1007/978-94-010-0810-5_38
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