@vx/voronoi

Overview

A Voronoi diagram partitions a two-dimensional plane into regions based on a set of input points.
Each unique input point maps to a corresponding region, where each region represents _all points
that are closer to the input point than to any other input point_.

Not only are Voronoi diagrams 😍, but they can be used to
improve the interactive experience of a visualization.
This is most often accomplished by overlaying an invisible voronoi grid on top of the visualization
to increase the target area of interaction sites such as points on a scatter plot.

The @vx/voronoi package provides a wrapper around the existing
d3-voronoi package with some react-specific utilities.

Installation

``
npm install --save @vx/voronoi
`

Usage

The @vx/voronoi package exports a wrapped version of the d3 voronoi layout for flexible usage,
as well as a component for rendering Voronoi regions.

`js
import { voronoi, VoronoiPolygon } from '@vx/voronoi';

const points = Array(n).fill(null).map(() => ({
x: Math.random() * innerWidth,
y: Math.random() * innerHeight,
}));

// width + height set an extent on the voronoi
// x + y set relevant accessors depending on the shape of your data
const voronoiLayout = voronoi({
x: d => d.x,
y: d => d.y,
width,
height,
});

const voronoiDiagram = voronoiLayout(data);
const polygons = voronoiDiagram.polygons(); // equivalent to voronoiLayout.polygons(points)

return (


{polygons.map((polygon) => (

))}
{points.map(({ x, y }) => (

)}


)
``

For more advanced usage with events, see this example. Additional
information about the voronoi layout + diagram can be found in the
d3-voronoi documentation.