Classification of drinking water samples using the Chernoff's Faces visualization approach

• Autorzy: Astel A , Astel K. , Biziuk M. , Namiesnik J.
• Języki publikacji: EN

Abstrakty

EN

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).

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2006
• Tom: 15
• Numer: 5
• Opis fizyczny: p.691-197,fig.,ref.

Twórcy

autor

Astel A

• Pomeranian Pedagogical Academy, 22a Arciszewskiego Str., 76-200 Slupsk, Poland

autor

Astel K.

autor

Biziuk M.

autor

Namiesnik J.

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