A JavaScript library for slicing GeoJSON data into vector tiles on the fly in the browser or Node.js.
geojson-vt is a JavaScript library that slices GeoJSON data into vector tiles on the fly, primarily for rendering and interacting with large geospatial datasets in the browser. It solves the problem of efficiently visualizing big geodata without requiring server-side tile generation, making maps faster and more interactive.
Developers and engineers working with web-based mapping applications, especially those using libraries like Mapbox GL JS, Leaflet, OpenLayers, or d3 who need to handle large GeoJSON datasets client-side.
It offers high-performance, client-side tile generation with configurable simplification, reducing server load and enabling real-time interaction with massive geospatial datasets directly in the browser.
Slice GeoJSON into vector tiles on the fly in the browser
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Dynamically slices GeoJSON into vector tiles conforming to the vector tile specification, enabling fast browser rendering without server dependency, as demonstrated with 100MB datasets in the README.
Simplifies shapes and filters out small polygons/polylines per zoom level, retaining appropriate detail for large datasets, which is key to handling millions of points efficiently.
Works in browsers and Node.js, and integrates seamlessly with Mapbox GL JS, Leaflet, OpenLayers, and d3, making it versatile for various mapping projects.
Offers fine-tuning parameters like maxZoom, tolerance, and buffer, allowing developers to balance detail and performance based on specific needs, as outlined in the options section.
Requires significant browser resources to process large datasets, which can lead to performance bottlenecks on low-powered devices or with extremely complex geospatial data.
The automatic simplification of shapes can lose geometric detail, making it unsuitable for applications requiring high precision or exact representations without customization.
Primarily designed for static GeoJSON data; handling dynamic or real-time updates efficiently is not a built-in feature, requiring additional logic for re-processing.
Tuning parameters like tolerance and indexMaxZoom for optimal performance is non-trivial and may require experimentation, which can increase development time for inexperienced users.