S² × ℝ (Thurston)

Spherical layering, radial drift
symmetrydim 34 metrics

What It Measures

Whether the data has directional structure that drifts over time.

Maps each byte triple to a point on the sphere (first two bytes give polar angle and azimuth) plus a height on the real line (third byte). This is the Thurston geometry of spherical layers: data with stable directional concentration has high sphere_concentration, while the height coordinate tracks temporal drift in the third-byte channel.

Metrics

sphere_concentration

Norm of the mean direction vector on S². Logistic period-3 and Collatz gap lengths score 1.0 (all points cluster at a single direction on the sphere). L-System Dragon scores 0.0006 (nearly uniform coverage of the sphere — the binary symbolic dynamics maps to antipodal directions that cancel). Rainfall also scores 1.0 (its near-zero values all map to the same latitude). This is a directional statistic: 1.0 means the data has a single preferred direction, 0.0 means it covers the sphere uniformly.

height_drift

Difference between final and initial height values. Rule 30 scores +1.0 (maximal upward drift) and Morse code scores -1.0 (maximal downward drift). ECG fusion scores -0.60. This captures systematic trends in the third-byte channel that the spherical components do not see.

sphere_height_corr

Correlation between the z-coordinate on S² and the height in the ℝ component. L-System Dragon (0.50) has the strongest positive correlation: when its sphere position moves poleward, its height increases. Logistic period-2 (-1.0) has perfect negative correlation — its alternating values create a strict z-height anti-relationship. Double pendulum (-0.99) and Van der Pol (-0.99) also show strong negative correlation, reflecting their oscillatory dynamics coupling the spherical and linear components.

Atlas Rankings

height_drift
SourceDomainValue
Rule 30exotic1.0000
Wigner Semicirclequantum0.8824
Forest Fireexotic0.8290
···
Morse Codewaveform-1.0000
Pulse-Width Modulationwaveform-0.8000
ECG Fusionmedical-0.6043
height_variance
SourceDomainValue
L-System (Dragon Curve)exotic0.2500
Square Wavewaveform0.2500
Rule 30exotic0.2500
···
Constant 0xFFnoise0.0000
Constant 0x00noise0.0000
Logistic r=3.83 (Period-3 Window)chaos0.0000
sphere_concentration
SourceDomainValue
Logistic r=3.83 (Period-3 Window)chaos1.0000
Collatz Gap Lengthsnumber_theory0.9999
Rainfall (ORD Hourly)climate0.9988
···
Constant 0xFFnoise0.0000
Constant 0x00noise0.0000
L-System (Dragon Curve)exotic0.0006
sphere_height_corr
SourceDomainValue
L-System (Dragon Curve)exotic0.5001
Thue-Morseexotic0.3232
Ikeda Mapchaos0.2949
···
Logistic r=3.2 (Period-2)chaos-1.0000
Double Pendulummotion-0.9949
Van der Pol Oscillatorexotic-0.9948

When It Lights Up

S² x R is the only geometry that decomposes the signal into a directional and a scalar component simultaneously. The sphere_height_corr metric captures coupling between these two degrees of freedom: positive correlation means the signal's direction and amplitude co-vary; negative correlation means they oppose. This is distinct from what Heisenberg measures (pure correlation twist) and from what Sol measures (exponential anisotropy). In the symmetry view, sphere_concentration separates concentrated signals (periodic, near-constant) from diffuse ones (chaos, symbolic dynamics), while sphere_height_corr adds a second axis that distinguishes coupled from decoupled dynamics.

Open in Atlas
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