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How a Major Wildfire Is Fought: Strategy, Data and Decisions Under Pressure

EL PAIS · Apr 2, 2023

investigation
stack: [mapshaper, blender, qgis, ai2html, adobe illustrator]

Context

A reconstruction of how large wildfire response is organized once an event enters the containment phase, based on operational strategy and post-fire analysis. The project combines decision timelines, spatial constraints, and tactical mapping to explain how field teams prioritize actions under pressure.

My role

  • Data analysis
  • Cartography
  • Frontend development

I co-designed the narrative with Javier Galan and led the visual implementation, translating operational wildfire phases into a step-by-step map sequence for non-specialist readers.

Data and methodology

Reporting was built from on-site interviews with firefighters and residents, then structured as an explanatory chronology of tactical decisions during the containment phase.

The visual pipeline combined QGIS base data, Blender-derived rendering inputs, and Illustrator composition to produce a coherent sequence of mapped fire states.

Key decisions

  • We chose a Svelte scrollytelling format to guide readers through 16 mapped fire moments documented by emergency teams during the event.
  • To speed up repetitive rendering tasks, I automated Blender from the command line with Bash and Python scripts, swapping plane textures and exporting batches without opening the interface each time.
  • The narrative prioritized operational clarity over visual ornament, focusing on why response timing and data-driven decisions changed the outcome.

Result

The final piece reconstructed the logic of containment in a way that made command decisions, territorial risk, and response effectiveness understandable in one continuous reading flow.

Impact and learnings

  • The project highlighted the decisive role of Catalonia's fire services and their real-time use of data in preventing a much larger disaster.
  • It was a technically demanding production that expanded my automation workflow for cartographic rendering and proved valuable for future high-tempo visual projects.

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