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Clustering Historical Rates of Spread
Stephen Guerin, SimTable
James Gattiker, LANL Statistical Sciences
May 20, 2014
What an Empirical Cluster @#$%!
Stephen Guerin, SimTable
James Gattiker, LANL Statistical Sciences
May 20, 2014
Silver Fire ROS vs Time for 11 Fuel Types
progressionrate
time
Dendrogram Clustering of 47 Fires
Example: Progression Rate, Fuel and Fire
Clustering from
last slide
Orders the fire rate empirical pdf:
ROS Clustering Historical Fires
stephen@simtable.com
gatt@lanl.gov
May 20, 2014
End
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Cluster Ordering
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Cluster Ordering
Using Knowledge from Observed Wildfires
Historical analysis / fire-ography (pyronography :-)
• Training and Education
– Use past fire data to explore fire characteristics and response
– Demonstrate the variability of fire qualities and fire conditions
• Expectations of fire behavior
• Community decisions on defensible spaces
• Fire situation awareness
– Query historical database of fire observations for likely analogs during
an unfolding wildfire event
– Create empirical models; aggregate characteristics of fire types
• Model Calibration
– Resource for tuning model parameters, and analyzing the possible
failures (and quantified uncertainty) of model predictions
Clustering Historical Wildfires from Interpolated Rates of Spread

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Clustering Historical Wildfires from Interpolated Rates of Spread

  • 1. Clustering Historical Rates of Spread Stephen Guerin, SimTable James Gattiker, LANL Statistical Sciences May 20, 2014
  • 2. What an Empirical Cluster @#$%! Stephen Guerin, SimTable James Gattiker, LANL Statistical Sciences May 20, 2014
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. Silver Fire ROS vs Time for 11 Fuel Types progressionrate time
  • 17. Example: Progression Rate, Fuel and Fire Clustering from last slide Orders the fire rate empirical pdf:
  • 18. ROS Clustering Historical Fires stephen@simtable.com gatt@lanl.gov May 20, 2014
  • 19. End
  • 20.
  • 21. • 1 2 • 2 33 • 3 3 • 4 29 • 5 12 • 6 28 • 7 43 • 8 23 • 9 35 • 10 17 • 11 22 • 12 45 • 13 16 • 14 6 • 15 30 • 16 32 • 17 21 • 18 44 • 19 7 • 20 11 • 21 42 • 22 19 • 23 8 • 24 9 • 25 46 • 26 31 • 27 37 • 28 34 • 29 38 • 30 10 • 31 20 • 32 25 • 33 41 • 34 26 • 35 18 • 36 27 • 37 4 • 38 15 • 39 39 • 40 24 • 41 36 • 42 40 • 43 5 • 44 13 • 45 1 • 46 14 • 47 47 Cluster Ordering
  • 22. • 1 2 • 2 33 • 3 3 • 4 29 • 5 12 • 6 28 • 7 43 • 8 23 • 9 35 • 10 17 • 11 22 • 12 45 • 13 16 • 14 6 • 15 30 • 16 32 • 17 21 • 18 44 • 19 7 • 20 11 • 21 42 • 22 19 • 23 8 • 24 9 • 25 46 • 26 31 • 27 37 • 28 34 • 29 38 • 30 10 • 31 20 • 32 25 • 33 41 • 34 26 • 35 18 • 36 27 • 37 4 • 38 15 • 39 39 • 40 24 • 41 36 • 42 40 • 43 5 • 44 13 • 45 1 • 46 14 • 47 47 Cluster Ordering
  • 23.
  • 24. Using Knowledge from Observed Wildfires Historical analysis / fire-ography (pyronography :-) • Training and Education – Use past fire data to explore fire characteristics and response – Demonstrate the variability of fire qualities and fire conditions • Expectations of fire behavior • Community decisions on defensible spaces • Fire situation awareness – Query historical database of fire observations for likely analogs during an unfolding wildfire event – Create empirical models; aggregate characteristics of fire types • Model Calibration – Resource for tuning model parameters, and analyzing the possible failures (and quantified uncertainty) of model predictions

Editor's Notes

  1. (Gatt’s estimate based on large groups of the same value in the Progression dataset; you might not want to use this, Steve, depending) ||grad|| is gradient magnitude. Silver is fire 28 in the current groups.
  2. Intensity (z) is counts in the 50x50 grid over the axes x=(0,maxtime) y=(0,maxrate). If these were scaled the same in absolute intensity they’d be very difficult to see. But, to register the relative contribution, the “rel” quoted in the subplot titles shows the relative contribution of that fuel.
  3. This is just clustering on the fuel 6 plot (from before – unordered image is in the talk dirif you want it). I tried stacking the rate vectors for all fuels, but there’s no visual coherence doing things that way. The order is the Fuel6ClusterOrder.txt file I sent you. For 47 relatively rich fire observations datasets from 2013, Quick test on Anderson 13 Fuels from Landfire.gov Progression rate derived from intperimeters. e.g.fuel
  4. Vehicle for the general pitch.