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Hasse Diagrams as Exploratory Tool in Environmental Data Mining : A Case Study

The present paper deals with the presentation of a new approach in sediment quality estimation. This approach studies the ranking towards ecotoxicity of lake sediments samples from Turawa lake in Poland with respect to chemical pollutants like polychlorinated biphenyls (PCBs), pesticides, polyaromatic hydrocarbons (PAH) and heavy metals. The sediment quality estimation is done by combining of Hasse diagram technique (HDT) with self-organized maps (SOM). The classification abilities of SOM are used as preprocessing procedure of the initial data matrix before applying HDT. The Hasse diagram analysis shows two sediment pollution “patterns” instead of the four detected by SOM. The Hasse diagram structure is discussed in relation to the environmental management of Turawa lake region.