@circuitly/quadtree-ts
TypeScript icon, indicating that this package has built-in type declarations

2.0.0-beta.2 • Public • Published

quadtree-ts

This library can store and retrieve Rectangles, Circles and Lines in a recursive 2D quadtree. Every node can hold a maximum number of objects before it splits into four subnodes. Objects are only stored on leaf nodes (the lowest level). If an object overlaps into multiple leaf nodes, a reference to the object is stored in each node.

This is a fork of @timohausmann/quadtree-js using Typescript and supporting primitives and overall better extensibility.

Docs and examples

Install

Install this module via npm and import or require it:

npm install --save-dev @timohausmann/quadtree-ts
// ES6
import { Quadtree } from '@timohausmann/quadtree-ts';
// CommonJS
const { Quadtree } = require('@timohausmann/quadtree-ts');

Alternatively, download the source and include it the old-fashioned way, or use an awesome CDN like jsdelivr or unpkg. (If you only need Rectangles and want to save some bytes, use quadtree.umd.basic.js instead):

<!-- self-hosted -->
<script src="quadtree.umd.full.js"></script>
<!-- CDN jsdelivr -->
<script src="https://cdn.jsdelivr.net/npm/@timohausmann/quadtree-ts/dist/quadtree.umd.full.js"></script>
<!-- CDN unpkg -->
<script src="https://unpkg.com/@timohausmann/quadtree-ts/dist/quadtree.umd.full.js"></script>

Use

Create a new Quadtree:

import { Quadtree } from '@timohausmann/quadtree-ts';

const myTree = new Quadtree({
    width: 800,
    height: 600,
    x: 0,           // optional, default:  0
    y: 0,           // optional, default:  0
    maxObjects: 10, // optional, default: 10
    maxLevels: 4    // optional, default:  4
});

Optional properties:

  • maxObjects – defines how many objects a node can hold before it splits
  • maxLevels – defines the deepest level subnode
  • x and y – coordinate offset

I recommend using low values for maxLevels because each level will quadruple the possible amount of nodes. Using lower values for maxLevels increases performance but may return more candidates. Finetuning these values depends on your 2D space, the amount and size of the objects and your retrieving areas.

Insert elements in the Quadtree:

import { Rectangle, Circle, Line } from '@timohausmann/quadtree-ts';

const rectangle = new Rectangle({
    x: 100,
    y: 100,
    width: 100,
    height: 100
});
myTree.insert(rectangle);

const line = new Line({
    x1: 25,
    y1: 25,
    x2: 75,
    y2: 25
})
myTree.insert(line);

const circle = new Circle({
    x: 100,
    y: 100,
    r: 50
})
myTree.insert(circle);

Retrieve elements from nodes that intersect with the given shape:

const area = new Rectangle({
    x: 150,
    y: 150,
    width: 100,
    height: 100
})
const elements = myTree.retrieve(area);

Reset the Quadtree:

myTree.clear();

Shapes

The supported built-in primitive shapes are Rectangle, Circle and Line. All shapes can be inserted or used for retrieval. Each shape requires properties specific to their geometry.

Shape Required Properties
Rectangle x, y, width, height
Circle x, y, r
Line x1, y1, x2, y2

You can use these classes directly, extend them or integrate them in your own objects (see below).

Note: if you are using the UMD bundles, the classes are available as Quadtree.Rectangle, Quadtree.Circle and Quadtree.Line.

// Class usage as-is
const player = new Rectangle({ 
    x: 67, 
    y: 67, 
    width: 100, 
    height: 100 
});
myTree.insert(player);

// Class extension
class Explosion extends Circle {

    constructor(props) {
        super(props);
    }

    explode() {
        console.log('boom!');
    }
}
const explosion = new Explosion({ x: 100, y: 100, r: 100 });
const affectedObjects = myTree.retrieve(explosion);

Custom data

All shapes support an optional data property that you can use however you like.

const rectangle = new Rectangle({ 
    x: 24, 
    y: 24, 
    width: 100, 
    height: 100, 
    data: 'custom data here' 
});
const circle = new Circle({ 
    x: 128, 
    y: 128, 
    r: 50, 
    data: { 
        name: 'Stanley', 
        health: 100 
    } 
});

Custom integration

Under the hood all shape classes implement a qtIndex method that is crucial for determining in which quadrant a shape belongs. You can think of it as a shape identifier. An alternative to using the class constructors is to supply your own qtIndex function for objects you want the Quadtree to interact with.

This is also helpful if your existing object properties don't match the required shape properties and you have to map them.

// Custom integration without mapping properties
// In this case the custom object has all the 
// expected shape properties (x1, y1, x2, y2)
// So we can simply reference the qtIndex method
const redLaser = {
    color: 'red',
    brightness: 10,
    x1: 67, 
    y1: 67, 
    x2: 128, 
    y2: 128,
    qtIndex: Line.prototype.qtIndex
}
myTree.insert(redLaser);

// Custom integration with mapping properties
// In this case the coordinates are arrays so they need to be mapped
const greenLaser = {
    color: 'green',
    brightness: 10,
    startPoint: [50, 50],
    endPoint: [100, 50],
    qtIndex: function(node) {
        return Line.prototype.qtIndex.call({
            x1: this.startPoint[0],
            y1: this.startPoint[1],
            x2: this.endPoint[0],
            y2: this.endPoint[1],
        }, node);
    }
};
myTree.insert(greenLaser);

// Custom integration with mapping in a class
// If you have many instances of the same thing, 
// I recommend adding the qtIndex to your class/prototype
class Bomb {

    constructor() {
        this.position = [50, 50];
        this.radius = 100;
    }

    qtIndex(node) {
        return Circle.prototype.qtIndex.call({
            x: this.position[0],
            y: this.position[1],
            r: this.radius,
        }, node);
    }
}
const bombOmb = new Bomb();
myTree.insert(bombOmb);

Check out the examples for more information.

Typescript

All types can be imported and are documented in the API docs.

The Quadtree class accepts an optional type argument <ObjectsType> for all inserted/retrieved objects:

class GameEntity extends Rectangle {
    ...
}
const myTree = new Quadtree<GameEntity>({
    width: 800,
    height: 600
});
const rocket = new Rocket(...); // extends GameEntity
myTree.insert(rocket);
const results = myTree.retrieve(...); // GameEntity[]

The shape classes accept an optional type argument <CustomDataType> for the custom data:

interface PlayerData {
    name: string
    health: number
}
const hero = new Rectangle<PlayerData>({
    x: 100,
    y: 100,
    width: 24,
    height: 48,
    data: {
        name: 'Shiffman',
        health: 100,
    }
});

Browser Support

As of 2.0.0 the UMD bundles use ES6 features (e.g. classes) that are not supported by IE11 and below. For legacy browser support, please polyfill the code on your own or use quadtree-js.

Development scripts

  • npm run dev to watch and build the source
  • npm run build execute rollup, docs, dts
  • npm run rollup to build the source only
  • npm run test to run the test suite
  • npm run lint to run eslint
  • npm run docs to create docs
  • npm run dts to create definition files

Folder structure

  • /dist auto-generated by npm run build
  • /docs github pages
  • /docs/documentation auto-generated by npm run docs
  • /docs/examples the demo examples
  • /src source code
  • /test jest test suite
  • /types Auto-generated by npm run dts

Migration from quadtree-js

  • Named exports only
    • Change import to import { Quadtree } from ...
  • Quadtree constructor
    • maxObjects and maxLevels are now named properties.
    • Also, x and y are now optional.
    • Change new Quadtree({x: 0, y: 0, width: 100, height: 100}, 5, 2); to new Quadtree({width: 100, height: 100, maxObjects: 5, maxLevels: 2});
  • Objects interacting with the Quadtree need to be a shape class or implement a qtIndex method (see above)
  • Bundle filename has changed: quadtree.umd.full.js
  • Typescript: Use Rectangle instead of Rect

Readme

Keywords

Package Sidebar

Install

npm i @circuitly/quadtree-ts

Weekly Downloads

1

Version

2.0.0-beta.2

License

MIT

Unpacked Size

771 kB

Total Files

92

Last publish

Collaborators

  • jeremycircuitly