Demonstrates a visualization method for time-series data, suggesting improved consequence identification.
The waveform and impact score are mapped onto a spherical surface, where waveform amplitude is represented as radial deformation and consequence is represented as a brightness or color field. The sphere can also be flattened into a two-dimensional atlas that preserves time ordering through labeled longitude, latitude, shell, or wrap bands. This allows consequence regions, hidden consequence zones, loud-but-shallow regions, event wakes, transition ridges, wave-impact contrast, and consequence-preserving compression to be defined and measured. The framework is presented as a visualization and diagnostic tool for time-series data. It does not claim that time is physically spherical. Instead, it defines a reproducible mapping from waveform data to a consequence-preserving surface and flattened atlas. The method is intended to help identify where consequence is concentrated, especially when what matters is not the largest visible waveform event.
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Matthew Hall (2026) studied this question.
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