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Jökull - 01.12.1989, Qupperneq 69

Jökull - 01.12.1989, Qupperneq 69
1. Or CL w 0. 8 - 0. 6 0. 4 0.2 0. 0 ■ 30 - c 1- °r Q) o "O .c Q. 20 - 03 O) c o 0. 8 o 10 LU • • , •i,i^ 1 -y"? 1". j 0 . ■. 0. 6 - •/• • ■■■•/• 0. 4 - -10 - -20 0. 2 - —i 1 1 i i -30 1 1 1 1 1 —l 0. 0 - 12 3 4 Grain size, <t> -2 -1 -1 2 3 Grain size, <Þ 12 3 4 Grain size <Þ Fig- 5. The relationship between form parameters and grain size. The formulas for the parameters and the <J> scale are given in the text. Mynd 5. Tengsl milli formþátta og kornastœrðar. Formþœttirnir og kornastœrðarkvarðinn eru skýrðir nánar i textanum. population. However, if we redefine the population to include only tephra grains produced in the H4 eruption, and include only H4 samples in the analysis of variance, the critical range for elongation becomes 0.053, for sphericity 0.044, and for the OP-index 1.985. This indicates a significant difference between the mean values of the four sam- ples of H4 in elongation and OP-index, but not in sphericity. Larsen and Thorarinsson (1978) mapped the H4 tephra unit and came to the conclusion that no single section in the vicinity of Hekla contains all the units of H4 due to changes in wind direction dur- lng the eruption. As all our H4 samples were taken at °ne locality, further sampling is clearly necessary to obtain a full picture of the form characteristics of this Hekla layer. The same is probably true of H,, where one of the three samples shows significant deviation. The diíferences in mean values of the duplicate analyses on sample 5838 are not significant for any of the form parameters. COMPARING SAMPLES AND VARIABLES WITH CLUSTER ANAIYSIS The process of selecting the most appropriate Parameter(s) for characterizing samples and com- Paring samples may be facilitated considerably by Performing a cluster analysis. This method involves a stepwise comparison of samples for which several parameters have been determined. It can be equally well used for the comparison of parameters. These parameters need not be normally distributed, and the analysis is non-parametric. The method was described in a geological context by Parks (1966). It involves the calculation of a similarity coefficient for all possible sample pairs. The most similar pair of samples is linked on a tree diagram (dendrogram), and then the next most similar pair (or linked pairs) and so on. The tree diagram shows the final step of the cluster analysis, giving a good visual perception of the similarities of samples or variables. The first cluster diagram (Fig. 6) is based on a set of parameters produced by tallying the number of plotted points in each cell of the Sneed-Folk diagram (Fig. 2). Each sample is represented by a horizontal line, which is joined to its nearest neigh- bour by a vertical line. This neighbour may be a sin- gle sample or a cluster of samples, but the scale at the top of the diagram shows the Pearson correlation coefficient. To point out an example, the Sneed-Folk cell parameters cluster the samples from Surtsey (submarine phreatomagmatic), Katla (subglacial phreatomagmatic), Heimaey (strombolian- /hawaiian), and top of the H4 layer (subaerial, last, non-plinian phase of eruption?). H4 (subaerial, ini- tial plinian phase) and Hj (subaerial, plinian) are joined in an equally similar cluster which then joins JÖKULL, No. 39, 1989 67
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