Building an Interactive Japan Pixel Map Showcasing 8,500+ Train Stations and 55,000 Konbini with Next.js, Pixi.js, and D3

Creating an Interactive Pixel Map of Japan with Over 63,500 Data Points

I’m excited to share a project I recently developed: an immersive, interactive map of Japan that visualizes over 8,500 train stations and 55,000 convenience stores, all rendered as a dynamic pixel grid.

Introducing Hikarie โ€” Japanโ€™s Data Visualization Showcase

Hikarie is a web-based interactive map designed to bring regional data to life through a pixel-perfect visualization. Each pixel on the map represents real-world locations, providing users with an engaging way to explore Japanโ€™s transportation hubs and retail points.

Experience the Map Live: Hikarie.app

The Development Journey

One of the most challenging aspects was achieving smooth performance while rendering and interacting with thousands of individual map elements. To accomplish this, I leveraged a robust technology stack:

  • Framework: Next.js, enabling server-side rendering and optimized performance
  • Rendering Engine: Pixi.js, for high-performance, GPU-accelerated visualization
  • Map Logic & Data Handling: D3.js paired with AmCharts to manage geographic data and interactions
  • Data Storage: MongoDB, storing detailed location datasets

Technical Insights

Integrating D3.js with Pixi.js presented an exciting technical challenge. D3’s powerful data-binding capabilities combined with Pixi’s rendering speed allowed for a responsive, visually appealing experience. This combination enabled me to handle vast amounts of data smoothly, ensuring users can explore the map without lag.

Explore and Discover

Whether you’re interested in Japanโ€™s transportation network or retail distribution, Hikarie offers an innovative way to visualize and interact with geographic data at an unprecedented scale. I invite you to explore the map and see the intricate patterns and connections come to life.

Enjoy navigating Japan’s vibrant data landscape!


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