Clasifcation of Drinking Water Samples Using the Chernoff's Faces Visualization Approach
A. Astel1, K. Astel2, M. Biziuk2, J. Namiesnik2
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1Environmental Chemistry research unit, Biology and Environmental Protection institute,
Pomeranian Pedagogical Academy, 22a Arciszewskiego Str., 76-200 Słupsk, Poland
2Analytical Chemistry Department, Chemical Faculty,
Gdańsk University of Technology, 11/12 G. Narutowicza Str., 80-952 Gdańsk, Poland
Pol. J. Environ. Stud. 2006;15(5):691-697
Our study shows the importance of drinking water monitoring using simple but powerful visualization tools to better understand spatial variations in water quality. The paper reports Chernoff's Faces visualiza­tion approach applied for the classification of drinking water samples collected at twelve various districts of Gdańsk (Poland), over the period 1993-2000. A good visualization should give the viewer a rapid understanding of the data and the phenomenon behind the data. The complex data matrix containig 1756 results of determination of disinfection by-products (THMs: CHCl3, CHBrCl2+C2HCl3, CHBr2Cl, CHBr3 and organohalogen compounds: CCl4, CH2Cl2, C2Cl4, C2H3Cl3) was successfully treated with Chernoff's approach, yielding two different groups of similarity among the sampling sites, and reflecting different types of drinking water supplies (surface and groundwater).
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