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1 Uncertainty in Extrapolations of Predictive Land Change Models R Gil Pontius Jr Joe Spencer Prepared for.

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Presentation on theme: "1 Uncertainty in Extrapolations of Predictive Land Change Models R Gil Pontius Jr Joe Spencer Prepared for."— Presentation transcript:

1 1 Uncertainty in Extrapolations of Predictive Land Change Models R Gil Pontius Jr (rpontius@clarku.edu) Joe Spencer (jspencer@clarku.edu) Prepared for presentation at the Open Meeting of the Global Environmental Change Research Community, Montreal, Canada, 16-18 October, 2003.

2 2 Major Points Validation is a waste of time, –unless you use the validation statistic to express the level of certainty of predictions of the unknown. The prediction’s accuracy approaches random as the prediction’s time interval grows. –We estimate how fast the accuracy approaches random.

3 3 Worcester Massachusetts and nine surrounding towns

4 4 Strategy of Three Runs

5 5 Percent Built versus Geology 1971

6 6 Percent Built versus Geology 1985

7 7 Percent Built versus Geology 1999

8 8 Percent Built versus Slope 1971

9 9 Percent Built versus Slope 1985

10 10 Percent Built versus Slope 1999

11 11 Real Built 1971

12 12 Simulated Built 1971-1985

13 13 Real Built 1971-1985

14 14 Observed Accuracy Run 1: 1985 4% 6%

15 15 Estimated Accuracy 1971-2013

16 16 Strategy of Three Runs

17 17 Expected Accuracy 1985-2013

18 18 Expected Accuracy Run 2: 1999 4% 6%

19 19 Real Built 1985

20 20 Simulated Built 1985-1999

21 21 Real Built 1985-1999

22 22 Accuracy Run 2: 1999 Observed 1% Quantity Error 9% Location Error Expected 4% Quantity Error 6% Location Error

23 23 Expected Accuracy Run 3: 1999-2013 1% 9%

24 24 Simulated Built 1999-2013

25 25 Expected Accuracy 1999-2199

26 26 Expected Accuracy 1985-2185

27 27 Major Points Validation is a waste of time, –unless you use the validation statistic to express the level of certainty of predictions of the unknown. The prediction’s accuracy approaches random as the prediction’s time interval grows. –We estimate how fast the accuracy approaches random.

28 28 Method is based on: Pontius. 2002. Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering & Remote Sensing 68(10). pp. 1041-1049. PDF file is available at www.clarku.edu/~rpontius or rpontius@clarku.edu National Science Foundation funded this via: Center for Integrated Study of the Human Dimensions of Global Change Human Environment Regional Observatory (HERO) Plugs & Acknowledgements


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