3.4. End-member modelling
The end-member-modelling algorithm (EMMA) of Weltje (1997) was applied to decompose the grain-size distributions into statistically evident end-members (Prins and Weltje, 1999 and Weltje and Prins, 2003) using the MATLAB application DRS-Unmixer (Heslop, 200 cool . EMMA computes end-member grain-size distributions, which cannot be expressed as mixtures of each other. EMMA was applied to the total set of measured grain-size distributions (n = 539) including all Secretin core and surface samples to cover the full variation in grain-size distributions along the Mozambique Margin.
Full-size image (72 K)
Fig. 4.
Results of end-member modelling of grain-size distributions in surface and piston core sediments from the Mozambique Margin. (A) The adjusted and non-adjusted coefficients of determination of a three end-member solution explain 90 and 98% of the observed variations in grain-size, respectively. (B) Coefficients of determination for each grain-size class. These coefficients (see: A, B) were used to determine the optimal number of end-members. (C) The computed grain-size distributions for a three end-member solution. (D) and (E) show grain-size distributions of shelf surface sediments and core tops from the continental slope, respectively. The grain-size distributions of the three end-member solution (C) are sepals plotted as dashed black lines in (D) and (E).
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