flatbush
A really fast static spatial index for 2D points and rectangles in JavaScript.
An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms.
Similar to RBush, with the following key differences:
- Static: you can't add/remove items after initial indexing.
- Faster indexing and search, with much lower memory footprint.
- Index is stored as a single typed array (which can be transfered).
Example
// initialize flatbush for 1000 items
const index = flatbush(1000);
// fill it with 1000 rectangles
for (const p of items) {
index.add(p.minX, p.minY, p.maxX, p.maxY);
}
// perform the indexing
index.finish();
// make a bounding box query
const found = index.search(minX, minY, maxX, maxY).map((i) => items[i]);
Install
Install using NPM (npm install flatbush) or Yarn (yarn add flatbush), then either:
// require in Node / Browserify
const flatbush = require('flatbush');
// or import as a ES module
import flatbush from 'flatbush';
Or use a browser build directly:
<script src="https://unpkg.com/flatbush@1.3.0/flatbush.min.js"></script>
API
flatbush(numItems[, nodeSize, ArrayType])
Creates a flatbush index that will hold a given number of items (numItems). Additionally accepts:
nodeSize: size of the tree node (16 by default); experiment with different values for best performance.ArrayType: the array type used for tree storage (Float64Arrayby default); other types may be faster in certain cases (e.g.Int32Arraywhen your data is integer)
index.add(minX, minY, maxX, maxY)
Adds a given rectangle to the index.
index.finish()
Performs indexing of the added rectangles.
Their number must match the one provided when creating a flatbush object.
index.search(minX, minY, maxX, maxY[, filterFn])
Returns an array of indices of items in a given bounding box.
const ids = index.search(10, 10, 20, 20);
If given a filterFn, calls it on every found item (passing an item index)
and only includes it if the function returned a truthy value.
const ids = index.search(10, 10, 20, 20, (i) => items[i].foo === 'bar');
Performance
Running npm run bench:
1000000 rectangles
flatbush: 268.348ms
10000 searches 10%: 7156.947ms
10000 searches 1%: 809.680ms
10000 searches 0.01%: 90.744ms
rbush: 1298.968ms
10000 searches 10%: 10559.077ms
10000 searches 1%: 1583.737ms
10000 searches 0.01%: 191.569ms