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Kristina Voigt, Gerhard Welzl, and Rainer Brüggemann

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Presentation on theme: "Kristina Voigt, Gerhard Welzl, and Rainer Brüggemann"— Presentation transcript:

1 Data Analysis of Environmental Air Pollutant Monitoring Systems in Europe
Kristina Voigt, Gerhard Welzl, and Rainer Brüggemann Environmetrics 2004; 15: Multiple Indicators, Partially Ordered Sets, and Linear Extensions: Multi-criterion Ranking and Prioritization G.P. Patil and Charles Taillie Environmental and Ecological Statistics 2004; 11:

2 Evaluation Criteria and their Scores
Number of chemicals monitored/NU Score <4 5-7 1 >7 2 Types and duration of measurements/ME Only daily values, yesterday’s values daily + past week, past 2 weeks daily + past weeks + past 6 months, past year(s) Measurement stations in capital/ST 1-2 3-5 >6 Method of presentation on the Internet/PR Table Graphic Table + Graphic Background material/BM Explanations, reports +limit values, laws and regulations direct communication, measures

3 15 European Monitoring Stations Evaluated by 5 Criteria
Abb. NU ME ST PR BM AUS 1 2 BEL DEN FIN FRA GER GRE IRE ITA LUX NET POR SPA SWE UNK

4 Hasse Diagram for the EEC 15*5 Dataset
Abbr. Rank of EEC5 FRA 1 GER 2 BEL 3 UNK 4 DEN 5 ITA 6 AUS 7 FIN 8 NET 9 POR 10.5 SWE SPA 12 GRE 13 IRE 14 LUX 15

5 Hasse Diagram : Levels

6 Regions in the Coordinate Space of POSAC
Y (III) Region of points incomparable to P (II) Region of points greater than P Yp P (I) Region of points smaller than P (III) Region of points incomparable to P Xp X

7 Two Profiles in a Cartesian Coordinate Space
2 2,2,2,2,1 GER 2 2,2,2,2,1 GER Y Y 1 2,0,2,1,1 ITA 2,2,2,2,1 GER Y 2,0,2,1,1 ITA 2,0,2,1,1 ITA 1 1 1 1 2 1 2 X X X For these possible score assignments are: 2,0,2,1,1  11 2,0,2,1,1  11 2,0,2,1,1  11 2,2,2,2,1  12 2,2,2,2,1  21 2,2,2,2,1  22

8 Three profiles in a two-dimensional coordinate space
Y 3 2,2,0,2,2 2 2,2,2,2,1 1 2,0,2,1,1 X 1 2 3

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10 POSAC Output Proportion of profile pairs correctly represented: 0.926
Label DIM DIM Joint Lateral Fit GER FRA BEL DEN AUS FIN UNK ITA NET POR SWE GRE IRE SPA LUX

11 PCA Output

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14 PCA chooses 3 variables ME, ST, and PR
POSAC chooses 2 variables ST and PR Abbr. Rank of EEC5 ME,ST, PR ST, PR FRA 1 1.5 GER 2 BEL 3 3.5 UNK 4 7.5 6 DEN 5 8.5 ITA AUS 7 FIN 8 NET 9 9.5 POR 10.5 12 11 SWE 14 SPA GRE 13 IRE 14.5 LUX 15 CORRELATION

15 Hasse Diagram of 15*4 Dataset (Leaving out the attribute ST)
Abbr. Rank of EEC5 -ST FRA 1 3 GER 2 BEL UNK 4 6.5 DEN 5 ITA 6 AUS 7 FIN 8 9.5 NET 9 POR 10.5 11.5 SWE SPA 12 14 GRE 13 IRE LUX 15 CORRELATION 0.912

16 Leave Out One Variable at a Time
Abbr. Rank of EEC5 -NU -ME -ST -PR -BM FRA 1 3 2 GER BEL 4 6.5 UNK 8 DEN 5 7 5.5 ITA 6 AUS 7.5 FIN 9.5 NET 9 10 POR 10.5 11.5 12 SWE 13.5 11 SPA 14 GRE 13 IRE 14.5 LUX 15 CORRELATION 0.9678 0.972 0.891

17 Sub-graph of the Object GER in the Super-graphic

18 Evaluation of the W-matrix for All Elements

19 Comparison of Results in Hasse Diagrams with Different Attribute Sets

20 PCA Biplot of 15*5 Data Matrix

21 POSAC Plot of Data Matrix 15*5

22 Scatter Plots of the Variables ST and PR

23 Hasse Diagram of Reduced Data Matrix 15*2 (LOVs from POSAC)


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