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Case Study

Shipping Traffic Density

A visualization of maritime shipping traffic density around Europe using IMF's World Seaborne Trade monitoring data, revealing major shipping routes and trade patterns.

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Europemaritimeshippingtradetransportation
Sector: Trade & Transportation
Shipping Traffic Density

Problem

Visualizing the intensity and patterns of global maritime trade requires processing complex vessel tracking data while creating an impactful visual that communicates the scale of seaborne commerce.

Outcome

A striking visualization showing shipping lane density with glowing lines on a dark background, revealing the arteries of global trade around Europe.

Method

Processed IMF's World Seaborne Trade monitoring system data. Used R with sf and ggplot2 to create layered visualization with custom glow effects to emphasize traffic intensity.

Deliverables

  • High-resolution map (print and web formats)
  • Reproducible R script
  • YouTube tutorial walkthrough

Results & Impact

Featured in discussions about global trade patterns and maritime infrastructure.

Source: Instagram Insights & YouTube Analytics (2024-12) — Combined reach across social platforms

Tools

  • R
  • sf
  • ggplot2
  • dplyr

Data Sources

  • IMF World Seaborne Trade monitoring system

Links

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