Fire Predictor — Coupling, Scaling, and Entropy

Weather & fuels → coupling & gates → polygon geometry (P–A) → fire & entropy layers → predictor stats.

This interactive app demonstrates how weather, fuel conditions, and network structure combine to shape fire behaviour. Adjust the sliders below to see how each factor affects coupling, growth, layered visualizations, and predictor statistics.

1) Coupling and Gate Dynamics

Two dendritic manifolds (fuel trees). Warmer, windier conditions increase coupling; magenta gates open where tips fall within wind‑biased reach.

2) Perimeter Geometry and Accelerated Growth

Auto‑zooming perimeter polygon and growth curves. Scale bar shows A/A₀; chart shows A(t) (blue) and P(t) (green, dashed) for the chosen horizon.

3) Climate, Entropy, and Fire Layers

Separated layers: climate (blue dome), network lines (left) and fuel nodes (right), fire intensity (reds). Layers drive the polygon in Panel 2.

4) Predictor Stats

Growth factor A/A₀
Perimeter P (rel.)
Roughness R = P/(2√πA)
veff (m·s⁻¹)
Entropy export (proxy)
Time scale (×)
Key predictions from the same inputs. Entropy export shown as a qualitative proxy ∝ C·A; sparkline tracks A(t) over the horizon.