delaunator
A really fast JavaScript library for
Delaunay triangulation of 2D points.
Example
var points = [[168, 180], [168, 178], [168, 179], [168, 181], [168, 183], ...];
var delaunay = new Delaunator(points);
console.log(delaunay.triangles);
API Reference
new Delaunator(points[, getX, getY])
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.
delaunay.triangles
A flat Int32Array
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 (var i = 0; i < triangles.length; i += 3) {
coordinates.push([
points[triangles[i]],
points[triangles[i + 1]],
points[triangles[i + 2]]
]);
}
delaunay.halfedges
A flat 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.
Performance
Benchmark results against four fastest other libraries
(bench.js
on Macbook Pro Retina mid-2012, Node v7.9.0):
Uniform distribution
library | 10,000 | 20,000 | 50,000 | 100,000 | 200,000 | 500,000 | 1,000,000 |
---|
delaunator | 25ms | 32ms | 105ms | 168ms | 350ms | 974ms | 2.46s |
faster-delaunay | 78ms | 140ms | 328ms | 776ms | 1.74s | 3.87s | 6.99s |
incremental-delaunay | 81ms | 154ms | 428ms | 874ms | 1.74s | 4.3s | 9.03s |
d3-voronoi | 154ms | 250ms | 534ms | 1.19s | 2.7s | 7.37s | 18.36s |
delaunay-fast | 136ms | 386ms | 1.18s | 3.03s | 7.95s | 28.2s | 76.96s |
Gaussian distribution
library | 10,000 | 20,000 | 50,000 | 100,000 | 200,000 | 500,000 | 1,000,000 |
---|
delaunator | 24ms | 27ms | 109ms | 170ms | 327ms | 941ms | 2.03s |
faster-delaunay | 76ms | 172ms | 291ms | 692ms | 1.19s | 3.46s | 6.36s |
incremental-delaunay | 74ms | 154ms | 410ms | 806ms | 1.67s | 4.27s | 8.3s |
d3-voronoi | 164ms | 264ms | 522ms | 1.16s | 2.67s | 7.64s | 18.62s |
delaunay-fast | 152ms | 340ms | 1.19s | 3.2s | 8.37s | 30.03s | 82.05s |
Papers
The algorithm is based on ideas from the following papers: