kdbush

A very fast static spatial index for 2D points based on a flat KD-tree. Compared to RBush:

• points only — no rectangles
• static — you can't add/remove items
• indexing is 5-8 times faster

var index = kdbush(points);              // make an index
var ids1 = index.range(10, 10, 20, 20);  // bbox search - minX, minY, maxX, maxY
var ids2 = index.within(10, 10, 5);      // radius search - x, y, radius

API

kdbush(points[, getX, getY, nodeSize, arrayType])

Creates an index from the given points.

• points: Input array of points.
• getX, getY: Functions to get x and y from an input point. By default, it assumes [x, y] format.
• nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
• arrayType: Array type to use for storing indices and coordinate values. Array by default, but if your coordinates are integer values, Int32Array makes things a bit faster.

var index = kdbush(points, (p) => p.x, (p) => p.y, 64, Int32Array);

range(minX, minY, maxX, maxY)

Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.

var results = index.range(10, 10, 20, 20).map((id) => points[id]);

within(x, y, radius)

Finds all items within a given radius from the query point and returns an array of indices.

var results = index.within(10, 10, 5).map((id) => points[id]);