mapbox-store-locator-patterns

To build a store locator with Mapbox GL JS, you need to add a GeoJSON dataset of locations, wire up a sidebar for filtering, and configure the map for displaying markers. This pattern provides templates for rendering maps with multiple locations and synced interactive lists.

To calculate distance and sort locations in a Mapbox store locator, you use Turf.js for spatial computations. This enables distance-based sorting across large location datasets, allowing users to find and filter the nearest stores effectively.

Yes, you can add directions integration to a Mapbox store locator. The pattern includes optional directions functionality to route users directly to selected locations, extending the map interface with routing capabilities across web and mobile contexts.

Yes, you need Turf.js along with Mapbox GL JS to create interactive lists and map popups. Turf.js handles the required spatial computations and distance calculations, while Mapbox GL JS manages the data rendering and marker patterns.

The best way to filter a large GeoJSON dataset on a Mapbox map is using established store locator patterns. These patterns provide built-in filtering, searching, and distance-based sorting mechanisms to manage and query extensive location data efficiently.