Hasty Briefsbeta

Bilingual

Map Clustering Is Not My Favorite

4 days ago
  • #user experience
  • #map clustering
  • #web mapping
  • The author has long been frustrated with map clustering, a technique developed around 20 years ago to handle displaying many points on maps due to browser limitations.
  • Clustering often hides information, requiring zooming to reveal points, which can be inefficient and sometimes fails if points are too close together, leaving clusters permanently closed.
  • Zooming into clusters can unexpectedly reveal points not located at the cluster's center, leading to poor user experience and frustration.
  • The author argues that displaying clustered numbers on a map is visually straining and inefficient for human interpretation.
  • With modern mapping technology (e.g., GPU-powered, fast rendering), the original problem of too many points slowing browsers is largely solved, making clustering unnecessary.
  • As an example, the author recreated a map of Atlas Obscura data using Protomaps and MapLibre GL JS, showing all points without clustering, resulting in a fast and clear visualization.
  • The author concludes that it's time to move beyond clustering, advocating for displaying all points directly on maps to improve clarity and user experience.