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; time-irreversible (slow rise, sharp collapse); multifractal; low-dimensional. The atlas detects no named structure beyond this. It sits beside Collatz Gap Lengths in the atlas (standard-bank rank 21) — a neighbor conventional features miss.

What standard analysis sees
tail heaviness0.88
asymmetry0.95
occupancy0.03
short-range corr0.44
long-range memory0.56
spectral colour0.55
periodicity0.27
complexity0.24
time-irreversibility0.15
volatility clustering0.43
multifractality0.94
dimensionality0.07
nonstationarity0.59
What the atlas adds

Nothing beyond the standard reading — this source’s structure is already captured by standard features; the atlas adds no named residual.

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%)4.21cross-origin
Poker Hands4.47
Collatz Gap Lengths4.55cross-origin

Open in Atlas →

Which Geometries Light Up

Zipf–Mandelbrot (16-bit)Zipf–Mandelbrot (16-bit):zipf_alpharank 3/3072.5555
in geophysical
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← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources