Overview
This page collates a set of independent technical analysis tools and reports focused on HF radio propagation and its relationship to space-weather drivers.
The work combines live data ingestion, automated processing, exploratory time-series analysis, and interactive visualisation to study complex, real-world systems that are inherently noisy, non-stationary, and not amenable to controlled experimentation.
While the subject matter is amateur radio, the emphasis throughout is on analytical method, data interpretation, and decision-support visualisation rather than radio operation itself.
Key analytical themes
- Automated ingestion and validation of heterogeneous live data sources
- Time-series analysis under irregular sampling and incomplete coverage
- Correlation assessment with external drivers (solar and geomagnetic indices)
- Visualisation designed to support interpretation and operational decisions
- Iterative hypothesis testing and refinement based on observed behaviour
Note on page size and performance
Several dashboards and reports intentionally include large, high-resolution datasets. While payloads are compressed for efficient delivery, client-side rendering may still exceed 10–20 MB of active data. This can cause noticeable latency on older hardware. This is a deliberate trade-off in favour of analytical completeness and transparency rather than pre-filtered summaries.