File size: 6,539 Bytes
bc20498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
# Delaunator [![Build Status](https://app.travis-ci.com/mapbox/delaunator.svg?branch=main)](https://app.travis-ci.com/mapbox/delaunator) [![](https://img.shields.io/badge/simply-awesome-brightgreen.svg)](https://github.com/mourner/projects) [![](https://badgen.net/bundlephobia/minzip/delaunator)](https://unpkg.com/delaunator)

An incredibly fast and robust JavaScript library for
[Delaunay triangulation](https://en.wikipedia.org/wiki/Delaunay_triangulation) of 2D points.

- [Interactive Demo](https://mapbox.github.io/delaunator/demo.html)
- [Guide to data structures](https://mapbox.github.io/delaunator/)

<img src="delaunator.png" alt="Delaunay triangulation example" width="600" />

### Projects based on Delaunator

- [d3-delaunay](https://github.com/d3/d3-delaunay) for Voronoi diagrams, search, traversal and rendering (a part of [D3](https://d3js.org)).
- [d3-geo-voronoi](https://github.com/Fil/d3-geo-voronoi) for Delaunay triangulations and Voronoi diagrams on a sphere (e.g. for geographic locations).

## Example

```js
const coords = [168,180, 168,178, 168,179, 168,181, 168,183, ...];

const delaunay = new Delaunator(coords);
console.log(delaunay.triangles);
// [623, 636, 619,  636, 444, 619, ...]
```

## Install

Install with NPM (`npm install delaunator`) or Yarn (`yarn add delaunator`), then import as an ES module:

```js
import Delaunator from 'delaunator';
```

To use as a module in a browser:

```html
<script type="module">
    import Delaunator from 'https://cdn.skypack.dev/[email protected]';
</script>
```

Or use a browser UMD build that exposes a `Delaunator` global variable:

```html
<script src="https://unpkg.com/[email protected]/delaunator.min.js"></script>
```

## API Reference

#### new Delaunator(coords)

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).

#### Delaunator.from(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 `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:

```js
for (let i = 0; i < triangles.length; i += 3) {
    coordinates.push([
        points[triangles[i]],
        points[triangles[i + 1]],
        points[triangles[i + 2]]
    ]);
}
```

#### delaunay.halfedges

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.

#### delaunay.hull

A `Uint32Array` array of indices that reference points on the convex hull of the input data, counter-clockwise.

#### delaunay.coords

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`).

#### delaunay.update()

Updates the triangulation if you modified `delaunay.coords` values in place, avoiding expensive memory allocations.
Useful for iterative relaxation algorithms such as [Lloyd's](https://en.wikipedia.org/wiki/Lloyd%27s_algorithm).

## Performance

Benchmark results against other Delaunay JS libraries
(`npm run bench` on Macbook Pro Retina 15" 2017, Node v10.10.0):

&nbsp; | uniform 100k | gauss 100k | grid 100k | degen 100k | uniform 1&nbsp;million | gauss 1&nbsp;million | grid 1&nbsp;million | degen 1&nbsp;million
:-- | --: | --: | --: | --: | --: | --: | --: | --:
**delaunator** | 82ms | 61ms | 66ms | 25ms | 1.07s | 950ms | 830ms | 278ms
[faster&#8209;delaunay](https://github.com/Bathlamos/delaunay-triangulation) | 473ms | 411ms | 272ms | 68ms | 4.27s | 4.62s | 4.3s | 810ms
[incremental&#8209;delaunay](https://github.com/mikolalysenko/incremental-delaunay) | 547ms | 505ms | 172ms | 528ms | 5.9s | 6.08s | 2.11s | 6.09s
[d3&#8209;voronoi](https://github.com/d3/d3-voronoi) | 972ms | 909ms | 358ms | 720ms | 15.04s | 13.86s | 5.55s | 11.13s
[delaunay&#8209;fast](https://github.com/ironwallaby/delaunay) | 3.8s | 4s | 12.57s | timeout | 132s | 138s | 399s | timeout
[delaunay](https://github.com/darkskyapp/delaunay) | 4.85s | 5.73s | 15.05s | timeout | 156s | 178s | 326s | timeout
[delaunay&#8209;triangulate](https://github.com/mikolalysenko/delaunay-triangulate) | 2.24s | 2.04s | OOM | 1.51s | OOM | OOM | OOM | OOM
[cdt2d](https://github.com/mikolalysenko/cdt2d) | 45s | 51s | 118s | 17s | timeout | timeout | timeout | timeout

## Papers

The algorithm is based on ideas from the following papers:

- [A simple sweep-line Delaunay triangulation algorithm](http://www.academicpub.org/jao/paperInfo.aspx?paperid=15630), 2013, Liu Yonghe, Feng Jinming and Shao Yuehong
- [S-hull: a fast radial sweep-hull routine for Delaunay triangulation](http://www.s-hull.org/paper/s_hull.pdf), 2010, David Sinclair
- [A faster circle-sweep Delaunay triangulation algorithm](http://cglab.ca/~biniaz/papers/Sweep%20Circle.pdf), 2011, Ahmad Biniaz and Gholamhossein Dastghaibyfard

## Robustness

Delaunator should produce valid output even on highly degenerate input. It does so by depending on [robust-predicates](https://github.com/mourner/robust-predicates), a modern port of Jonathan Shewchuk's robust geometric predicates, an industry standard in computational geometry.

## Ports to other languages

- [delaunator-rs](https://github.com/mourner/delaunator-rs) (Rust)
- [fogleman/delaunay](https://github.com/fogleman/delaunay) (Go)
- [delaunator-cpp](https://github.com/abellgithub/delaunator-cpp) (C++)
- [delaunator-sharp](https://github.com/nol1fe/delaunator-sharp) (C#)
- [delaunator-ruby](https://github.com/hendrixfan/delaunator-ruby) (Ruby)
- [Delaunator-Python](https://github.com/HakanSeven12/Delaunator-Python) (Python)
- [ricardomatias/delaunator](https://github.com/ricardomatias/delaunator) (Kotlin)
- [delaunator-java](https://github.com/waveware4ai/delaunator-java) (Java)
- [delaunay-Stata](https://github.com/asjadnaqvi/stata-delaunay-voronoi) (Stata/Mata)
- [Delaunator.jl](https://github.com/JuliaGeometry/Delaunator.jl) (Julia)