For example, CMV4_3 signifies the third of four clusters for the deviation from the mean depth. For deviation type MV (Figure 10a) the most characteristic differentiation is related to the slope of a hill. Clusters CMV2_1, CMV3_1, CMV4_4, CMV5_5, CMV6_1 correspond to the steepest slopes, while CMV2_2 corresponds to gentle slopes and flat areas. For three clusters the steepness of a hillside decreases in the sequence CMV3_1 –CMV3_2 –CMV3_3. For a larger number of clusters, however, it is hard to state whether

the differentiation continues to indicate variations in the global slope or whether it indicates more diverse sea bottoms. No direct interpretation of a seabed was obtained for the clusters calculated for deviation types LT and ST ( Figures 10b,c). The differentiation distribution of the example profile was the

most complete Selleck CDK inhibitor when all the parameters were taken into account (Figure 10d). For two clusters the distribution was almost analogous to that of MV, that is, flat or slightly inclined surfaces (Call2_2) and slopes (Call2_1). Where three clusters were determined, steep slopes (Call3_1), a flat seabed, gently sloping hillsides with small morphological forms (Call3_3) and strongly undulating sections (Call3_2) were distinguished. check details Adding a fourth cluster precluded further profile classification. The greatest sea bottom diversity on Lepirudin this profile was found with five clusters. It was classified as follows: (i) a flat seabed (Call5_5), (ii) sections with gently inclined slopes and small forms (Call5_2), (iii) areas with diverse morphology and numerous bottom forms (Call5_3) and (iv) steep slopes (Call5_1). No forms associated with cluster Call5_4 were found. With six clusters the results were very difficult to interpret; increasing the number of clusters did not improve the results any further. In order to

draw a map with the morphological form classification on the example profile, it was suggested that a new interpolation procedure should be used. Since the results were quantified, the percentage of all clusters was identified at a distance of 500 m from every location. This was dictated by the distance used for the Brepollen interpolation, as this allows information from the whole research area to be used (Moskalik et al. 2013a). The maximum value cluster was used as the morphological differentiation class corresponding to the sea bottom. Maps of seabed diversity from the 2nd to the 5th class from the cluster analysis of all parameters were prepared (Figure 11). Analysis of the results revealed a rapid increase in information for three clusters than for two.