Forest Fire

self-organized-criticality · 37 views
self-organized-criticalityavalanching

What It Is

Drossel-Schwabl forest fire model --- tree density fluctuates as growth and burns compete

Interpretation

Standard analysis sees: heavy-tailed; left-skewed; few distinct values; low-complexity (predictable, not noise-like); time-irreversible (slow rise, sharp collapse); multifractal; low-dimensional; nonstationary / drifting. The atlas additionally detects Higher-Order Statistics:c3_energy. It sits beside Rainfall (ORD Hourly) in the atlas (standard-bank rank 149) — a neighbor conventional features miss.

What standard analysis sees
tail heaviness0.96
asymmetry0.00
occupancy0.10
short-range corr0.68
long-range memory0.80
spectral colour0.34
periodicity0.43
complexity0.00
time-irreversibility0.00
volatility clustering0.70
multifractality0.93
dimensionality0.03
nonstationarity0.93
What the atlas adds
Higher-Order Statistics:c3_energy+6.2z
third-cumulant burst energy (SOC irreducibility signature)
Atlas-extreme metrics the standard bank can’t predict for this source
Visibility Graph:avg_clustering_coeff-6.0zbank-miss 2.5σ
Zariski:heyting_gap+5.0zbank-miss 1.1σ
D4 Triality:edge_ortho_polarity-4.5zbank-miss 1.5σ
Navier-Stokes:cascade_asymmetry-4.1zbank-miss 1.5σ
2-adic:mean_distance-3.6zbank-miss 1.3σ
SL(2,ℝ) (Thurston):cocycle_growth_rate+3.0zbank-miss 3.2σ
Inflation (Substitution):entropy_rate-2.1zbank-miss 2.7σ

Composition

dtypefloat64
range[0, 500]
unique values307 / 16384
mean ± std494 ± 40

Render Gallery

Atlas Position

Nearest neighborDistance
Rainfall (ORD Hourly)5.12cross-origin
Devil's Staircase5.13cross-origin
ECG Fusion5.25cross-origin

Open in Atlas →

Which Geometries Light Up

Boltzmann › Boltzmann:spectral_gap_Jrank 1/3061.0000
Boltzmann › Boltzmann:coupling_temporal_variancerank 306/3060.0000
Boltzmann › Boltzmann:nn_dominancerank 306/3060.0000
Catch24 › Catch24:DN_Meanrank 1/3060.9799
Catch24 › Catch24:SB_TransitionMatrix_3ac_sumdiagcovrank 1/3060.3333
Catch24 › Catch24:SB_MotifThree_quantile_hhrank 306/3060.0000
Chladni › Chladni:temporal_burstinessrank 3/3060.6616
Chladni › Chladni:nodal_gap_ratiorank 303/3060.1968
H4 600-Cell › H4 600-Cell:lattice_closurerank 4/3060.9980
Higher-Order Statistics › Higher-Order Statistics:c3_energyrank 2/3063.4088
Higher-Order Statistics › Higher-Order Statistics:kurt_maxrank 5/3066.7116
Higher-Order Statistics › Higher-Order Statistics:perm_entropyrank 306/3060.0084
Hodge–Laplacian › Hodge–Laplacian:source_fractionrank 303/3060.1098
H² × ℝ (Thurston) › H² × ℝ (Thurston):depth_height_corrrank 2/3060.6765
Inflation (Substitution) › Inflation (Substitution):discrepancyrank 306/3060.0000
Möbius-S³ › Möbius-S³:phase_profile_deviationrank 3/3060.7211
Navier-Stokes › Navier-Stokes:cascade_asymmetryrank 303/306-0.9616
Nonstationarity › Nonstationarity:vol_of_volrank 4/3062.4817
Predictability › Predictability:sample_entropyrank 303/3060.0217
SL(2,ℝ) (Thurston) › SL(2,ℝ) (Thurston):cocycle_growth_raterank 5/3061.8988
S² × ℝ (Thurston) › S² × ℝ (Thurston):height_driftrank 3/3060.8190
Time Reversibility › Time Reversibility:increment_skewness_maxrank 4/3061.0000
Visibility Graph › Visibility Graph:avg_clustering_coeffrank 305/3060.0541
Wavelet Cascade › Wavelet Cascade:coarse_scale_kurtosis_sloperank 305/306-2.7407
Zariski › Zariski:heyting_gaprank 1/3061.0000
Zipf–Mandelbrot (16-bit) › Zipf–Mandelbrot (16-bit):gini_coefficientrank 4/3060.9537
Zipf–Mandelbrot (8-bit) › Zipf–Mandelbrot (8-bit):gini_coefficientrank 4/3060.9553
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