Project · representation

From snapshot to process: what does this epidemic actually look like as it moves?

Derives growth rates, lags, rolling windows, and spatio-temporal features that turn static case counts into the dynamic structure inference and forecasting depend on.

The idea

[Why static counts aren't enough; what "dynamic structure" means for your data.]

The transformations

[The feature families you derive and the reasoning behind each.]

Artifacts

Where it goes

This node feeds two downstream consumers — the risk-factor inference (02) and the forecaster (08). That fork is the reason the portfolio reads as one spine.