Transforming Climate Data into Experience | Jeff Jones | NZGDC 2025

Transforming Climate Data into Experience | Jeff Jones | NZGDC 2025

🎙 Jeff Jones, Louis Critzwell 👥 1K 📅 October 9, 2025 ⏱ 27 min 👁 27 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

climate datadigital twinUnreal EngineGISinteractive experience

Summary

The talk presents ‘Our Changing City’, an interactive installation built by Wellington City Council and Prismatic Studios to help residents understand localized climate change impacts. The project uses a digital twin of Wellington, created from aerial photography, elevation maps, and photogrammetry, and integrates GIS data through a custom GeoJSON importer. The experience allows users to manipulate terrain, view historical context, and explore climate scenarios like flooding and sea-level rise. The talk details technical solutions such as terrain morphing with nanite and vector displacement maps, a state machine system using the Logic Driver plugin, and analytics tracking via Google Analytics 4. Deployment challenges included heat management, kiosk mode, and offline analytics. Key lessons emphasize that tangible, interactive experiences are more effective than abstract data, and that collaboration and guidance are essential for driving action.

133 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides valuable insights into the practical application of game engine technology for civic engagement. The argumentation is solid, based on real project experience and specific technical details. The speakers effectively demonstrate how immersive experiences can make complex climate data more accessible and emotionally resonant. They also honestly discuss challenges and limitations, which strengthens the credibility of their claims.

Scientific Rigor, Source Quality, Title Accuracy

The talk is a first-hand account from the project leads, so the information is primary and reliable. They reference specific tools (Unreal Engine, ArcGIS, City Engine, Datasmith, Logic Driver) and data sources (NIWA, Wellington Water, GIS team) without providing external citations. The title accurately reflects the content, and the presentation is well-structured and technically detailed.

130 words

Title / Content Match

The title accurately reflects the content: the talk focuses on transforming climate data into an immersive experience, with a strong emphasis on the technical and design process.

Quality & Reliability

8/10

The talk is a detailed technical presentation by practitioners directly involved in the project, with concrete implementation details and lessons learned. The information is credible and grounded in real experience, though it is primarily anecdotal and lacks external verification.

Key Moments

Cited Sources

  • Bloomberg Global Mayors Challenge — Funding source for the project
  • NIWA — Climate data provider
  • Wellington Water — Data provider for water-related climate impacts
  • Wellington City Council GIS team — Internal data provider
  • Unreal Engine — Game engine used for the experience
  • ArcGIS — GIS software used for data processing
  • City Engine — 3D city modeling software
  • Datasmith — Unreal Engine plugin for importing 3D data
  • Logic Driver — Third-party state machine plugin for Unreal Engine

Concurring Sources

  • Unreal Engine documentation — Official documentation for the engine used
  • ArcGIS documentation — Documentation for GIS software used

Contribution & Novelties

The talk provides a detailed case study of using a digital twin and game engine technology to communicate climate change impacts to the public. It offers practical insights into the technical implementation, including terrain morphing, GIS data integration, and state machine design. The emphasis on integrating indigenous knowledge (mātauranga Māori) adds a unique perspective.

Pour aller plus loin :

97 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and technical level, with a slightly lower reliability score due to the anecdotal nature of the presentation. The overall shape indicates a technically rich and informative talk, but with some limitations in external verification.

Reliability 7/10

💬 No comments were provided for analysis.