[windrose-basic] Windrose - Wind speed and direction distribution

[MarkusNeusinger]

A windrose displays wind speed and direction as a polar stacked histogram showing frequency distribution by compass direction.

Why important

• Standard in meteorology and environmental science
• More specialized than polar-bar with domain conventions
• Has dedicated library with proper binning

Library

• Primary: windrose
• Alternative: plotly.express.bar_polar

Applications

• Meteorological analysis
• Wind farm site assessment
• Air quality studies
• Airport runway planning

[claude]

✅ Spec ID: windrose-basic

Rationale: "Windrose" is the standard name in meteorology and environmental science for this polar stacked histogram showing wind speed and direction distribution. This is distinct from rose-basic (Nightingale/coxcomb charts for general radial data) and polar-basic (polar scatter/line plots) because it specifically shows frequency distributions of wind by direction with speed bins stacked.

[github-actions]

✅ Specification Ready: windrose-basic

PR: #1884

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specification.md

windrose-basic: Wind Rose Chart

Description

A wind rose displays wind speed and direction data as a polar stacked histogram showing the frequency distribution of wind across compass directions. Each spoke represents a direction sector (typically 8-16 bins), with stacked colored segments indicating different wind speed ranges. This specialized meteorological visualization reveals dominant wind patterns, prevailing directions, and speed distributions simultaneously, making it essential for site assessment and environmental analysis.

Applications

• Assessing wind farm site suitability by analyzing prevailing wind patterns and speed distributions
• Planning airport runway orientations based on historical wind direction frequencies
• Conducting air quality studies to understand pollutant dispersion patterns
• Designing building ventilation and urban planning based on local wind climatology

Data

• direction (numeric) - Wind direction in degrees (0-360, where 0/360 is North)
• speed (numeric) - Wind speed in consistent units (m/s, km/h, or knots)
• frequency (numeric, optional) - Pre-aggregated frequency counts per direction/speed bin
• Size: 500-50000 observations recommended for meaningful distributions
• Example: Hourly wind measurements from a weather station over one year

Notes

• Direction bins typically use 8 (N, NE, E, SE, S, SW, W, NW) or 16 sectors
• Speed bins should use meaningful ranges for the data (e.g., 0-5, 5-10, 10-15, 15+ m/s)
• North should be at the top (0 degrees) following meteorological convention
• Colors traditionally progress from cool (calm) to warm (strong) for speed bins
• Include a legend showing speed ranges and their colors
• Radial axis shows frequency (percentage or count) of observations per direction

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Next: Add approved label to merge this specification to main.

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🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: windrose-basic
PR: #1884 (merged)

The specification is now in main and synced to PostgreSQL.

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Next: Add generate:{library} labels to start generating implementations.

Available libraries: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, letsplot

Or use workflow dispatch for bulk operations.

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🤖 spec-create workflow

[MarkusNeusinger]

✅ Closed with 9/9 implementations in repo (windrose-basic)