Interactive US Population Map 2025

Interactive US Population Map 2025

A technically accurate 3D map of the US population. Features real-time state-by-state demographic data, including precise percentage shares of the total national population and gender distribution.

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1. The Core Engine

The logic is driven by a custom State-Level Data Processing Engine that bridges geographic data with statistical metadata.

  • Dynamic Data Mapping: The engine uses a central stats object containing projected 2025 populations. It maps these values to the properties of the imported geojson features.
  • Feature Traversing: When the us-states.json is fetched, the engine iterates through each feature, creating a THREE.Group for every state. This allows the system to store demographic strings (like gender counts and population share) directly in the group's userData.
  • Raycasting Subsystem: A high-performance THREE.Raycaster runs within the mouse event loop. It translates 2D mouse coordinates into a 3D picking ray to detect which state the user is interacting with.

2. Rendering Technology

The visualization is rendered using WebGL via Three.js, focusing on high-contrast "Choropleth" mapping in a 3D space.

  • Color Interpolation (Lerping): The rendering logic uses lerpColors to create a smooth color gradient. States with low populations are mapped toward Blue, while high-population states (like California and Texas) shift toward Red.
  • Vector Geometry Generation: The map doesn't use static textures. It procedurally generates THREE.ShapeGeometry based on the geographic vertices, ensuring the map remains sharp at any zoom level.
  • Anti-Aliased Compositing: The WebGLRenderer is set with antialias: true and a high pixel ratio to maintain clean edges on the state boundaries.

3. Mathematical Tools

The precision of the map relies on Cartographic Projections and Linear Scaling.

  • D3-Geo Projections: The system uses the Albers USA Projection (d3.geoAlbersUsa). This is a conic, equal-area projection that is the standard for US maps because it minimizes distortion across the 50 states and mathematically nests Alaska and Hawaii near the mainland.
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  • Coordinate Transformation: The projection converts Latitude and Longitude into X, Y coordinates. The rendering engine then negates the Y value (-p[1]) to match the WebGL coordinate system (where up is positive Y) with the screen coordinate system (where down is positive Y).
  • Population Normalization: The math min((pop - 0.5) / 32, 1) is used to normalize population values into a 0.0$ to 1.0 range for the color interpolator.

4. Front-End Environment

The interface is a Modern ES Module (ESM) setup that integrates standard web UI with a 3D canvas.

  • Import Maps: This modern feature allows the code to use "bare imports" (like import * as THREE from 'three') directly in the browser without a build step (like Webpack or Vite).
  • Interactive HUD (Heads-Up Display): The state information is not rendered in 3D; it uses a 2D HTML tooltip. This ensures the text remains perfectly legible and high-resolution regardless of the 3D camera's position.
  • Responsive Viewport: The environment implements a "Debounced Resize" listener that updates the camera.aspect and renderer.setSize to ensure the map never appears squashed or stretched on mobile or ultra-wide displays.
  • Integrity Protection: A background "heartbeat" script checks for the existence of the attribution link every 5 seconds. If the branding is tampered with, it triggers a page refresh to maintain developer credit.