Sensor Event Stream

stochastic-process · 37 views
stochastic-processpoint-process

What It Is

Categorical sensor event stream --- door open/close, motion, temperature alerts with state-dependent transitions. Mostly quiet (value 0) with coupled event bursts

Interpretation

Standard analysis sees: heavy-tailed; right-skewed; few distinct values; multifractal; low-dimensional. The atlas finds no named structure, but the source is distinctively extreme on Zipf–Mandelbrot (8-bit):zipf_alpha (+2.5z) — beyond what the standard bank predicts for it. It sits beside Collatz Gap Lengths in the atlas (standard-bank rank 22) — a neighbor conventional features miss.

What standard analysis sees
tail heaviness0.87
asymmetry0.93
occupancy0.05
short-range corr0.46
long-range memory0.56
spectral colour0.54
periodicity0.26
complexity0.23
time-irreversibility0.16
volatility clustering0.44
multifractality0.95
dimensionality0.07
nonstationarity0.58
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Zipf–Mandelbrot (8-bit):zipf_alpha+2.5zbank-miss 2.1σ

Composition

dtypeuint8
range[0, 250]
unique values5 / 16384
mean ± std17.9 ± 45.4

Fixed alphabet — only 5 distinct symbols across 16384 samples.

Render Gallery

Atlas Position

Nearest neighborDistance
Neural Net (Pruned 90%)4.19cross-origin
Poker Hands4.45
Collatz Gap Lengths4.54cross-origin

Open in Atlas →

Which Geometries Light Up

Zipf–Mandelbrot (16-bit) › Zipf–Mandelbrot (16-bit):zipf_alpharank 3/3062.5555
in geophysical
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources