How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA...
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![Page 1: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/1.jpg)
How to tell the president the facts
Haiganoush K. PreislerPacific Southwest Research StationUSDA Forest Service, Albany, CA
6 August, 2003JSM – San Francisco
![Page 2: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/2.jpg)
![Page 3: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/3.jpg)
• Whenever possible say it with pictures/figures.
• Complicated concepts may be conveyed using figures.
![Page 4: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/4.jpg)
Generalized Additive Models
• Often data non Gaussian (e.g., logistic)
• Multiple regression with partial effects
• Relationships approximated by sum of non linear non parametric curves.
• Output is graphical
![Page 5: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/5.jpg)
![Page 6: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/6.jpg)
elevation
lo(elevation)
0 1000 2000 3000
0.0
0.2
0.4
0.6
0.8
sday
lo(sday)
100 150 200 250
-1.2
-0.8
-0.4
0.0
sc
lo(sc)
0 50 100 150
-0.5
0.5
1.5
2.5
er
lo(er)
0 20 40 60 80
-1
0
1
2
3
4
Effects of observed variables on probability of fire spread
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elevation
lo(elevation)
0 1000 2000 3000
-2
0
2
4
sday
lo(sday)
100 150 200 250
-4
-3
-2
-1
0
1
2
sc
lo(sc)
0 50 100 150
0
2
4
6
er
lo(er)
0 20 40 60 80
0
2
4
6
Effects of observed variables on probability of fire spread
![Page 8: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/8.jpg)
![Page 9: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/9.jpg)
![Page 10: How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.](https://reader030.fdocuments.net/reader030/viewer/2022032800/56649d485503460f94a23c1a/html5/thumbnails/10.jpg)
Color map based on fire danger class
Color map based on probability
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-2
012
Estimated Ozone levels, September 21, 1999
Very highHighAverageLowVery low
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Conclusion
• Different situations require different solutions
• Whenever possible say it with a ‘picture bite’