An incredibly fast JavaScript library for Delaunay triangulation of 2D points.
Projects based on Delaunator:
- d3-delaunay for Voronoi diagrams, search, traversal and rendering.
- d3-geo-voronoi for Delaunay triangulations and Voronoi diagrams on a sphere (e.g. for geographic locations).
Ports to other languages: delaunator-rs (Rust), fogleman/delaunay (Go), delaunator-cpp (C++).
const points = [[168, 180], [168, 178], [168, 179], [168, 181], [168, 183], ...];
const delaunay = Delaunator.from(points);
console.log(delaunay.triangles);
// [623, 636, 619, 636, 444, 619, ...]
Install with NPM (npm install delaunator
) or Yarn (yarn add delaunator
), then:
// import as an ES module
import Delaunator from 'delaunator';
// or require in Node / Browserify
const Delaunator = require('delaunator');
Or use a browser build directly:
<script src="https://unpkg.com/[email protected]/delaunator.min.js"></script> <!-- minified build -->
<script src="https://unpkg.com/[email protected]/delaunator.js"></script> <!-- dev build -->
Constructs a delaunay triangulation object given an array of points ([x, y]
by default).
getX
and getY
are optional functions of the form (point) => value
for custom point formats.
Duplicate points are skipped.
Constructs a delaunay triangulation object given an array of point coordinates of the form:
[x0, y0, x1, y1, ...]
(use a typed array for best performance).
A Uint32Array
array of triangle vertex indices (each group of three numbers forms a triangle).
All triangles are directed counterclockwise.
To get the coordinates of all triangles, use:
for (let i = 0; i < triangles.length; i += 3) {
coordinates.push([
points[triangles[i]],
points[triangles[i + 1]],
points[triangles[i + 2]]
]);
}
A Int32Array
array of triangle half-edge indices that allows you to traverse the triangulation.
i
-th half-edge in the array corresponds to vertex triangles[i]
the half-edge is coming from.
halfedges[i]
is the index of a twin half-edge in an adjacent triangle
(or -1
for outer half-edges on the convex hull).
The flat array-based data structures might be counterintuitive, but they're one of the key reasons this library is fast.
A Uint32Array
array of indices that reference points on the convex hull of the input data, counter-clockwise.
An array of input coordinates in the form [x0, y0, x1, y1, ....]
,
of the type provided in the constructor (or Float64Array
if you used Delaunator.from
).
Benchmark results against other Delaunay JS libraries
(npm run bench
on Macbook Pro Retina 15" 2017, Node v10.10.0):
uniform 100k | gauss 100k | grid 100k | degen 100k | uniform 1 million | gauss 1 million | grid 1 million | degen 1 million | |
---|---|---|---|---|---|---|---|---|
delaunator | 95ms | 75ms | 68ms | 31ms | 1.15s | 1.11s | 979ms | 314ms |
faster‑delaunay | 473ms | 411ms | 272ms | 68ms | 4.27s | 4.62s | 4.3s | 810ms |
incremental‑delaunay | 547ms | 505ms | 172ms | 528ms | 5.9s | 6.08s | 2.11s | 6.09s |
d3‑voronoi | 972ms | 909ms | 358ms | 720ms | 15.04s | 13.86s | 5.55s | 11.13s |
delaunay‑fast | 3.8s | 4s | 12.57s | timeout | 132s | 138s | 399s | timeout |
delaunay | 4.85s | 5.73s | 15.05s | timeout | 156s | 178s | 326s | timeout |
delaunay‑triangulate | 2.24s | 2.04s | OOM | 1.51s | OOM | OOM | OOM | OOM |
cdt2d | 45s | 51s | 118s | 17s | timeout | timeout | timeout | timeout |
The algorithm is based on ideas from the following papers:
- A simple sweep-line Delaunay triangulation algorithm, 2013, Liu Yonghe, Feng Jinming and Shao Yuehong
- S-hull: a fast radial sweep-hull routine for Delaunay triangulation, 2010, David Sinclair
- A faster circle-sweep Delaunay triangulation algorithm, 2011, Ahmad Biniaz and Gholamhossein Dastghaibyfard