Accelerating the pace of engineering and science

• Trials

# voronoi

Voronoi diagram

 Note:   Qhull-specific options are no longer supported. Remove the OPTIONS argument from all instances in your code that pass it to voronoi.

## Syntax

voronoi(x,y)
voronoi(x,y,TRI)
voronoi(dt)
voronoi(AX,...)
voronoi(...,'LineSpec')
h = voronoi(...)
[vx,vy] = voronoi(...)

## Description

voronoi(x,y) plots the bounded cells of the Voronoi diagram for the points x,y. Lines-to-infinity are approximated with an arbitrarily distant endpoint.

voronoi(x,y,TRI) uses the triangulation TRI instead of computing internally.

voronoi(dt) uses the Delaunay triangulation dt instead of computing it.

voronoi(AX,...) plots into AX instead of gca.

voronoi(...,'LineSpec') plots the diagram with color and line style specified.

h = voronoi(...) returns, in h, handles to the line objects created.

[vx,vy] = voronoi(...) returns the finite vertices of the Voronoi edges in vx and vy.

 Note   For the topology of the Voronoi diagram, i.e., the vertices for each Voronoi cell, use voronoin. `[v,c] = voronoin([x(:) y(:)])`

## Definitions

Consider a set of coplanar points P. For each point Px in the set P, you can draw a boundary enclosing all the intermediate points lying closer to Px than to other points in the set P. Such a boundary is called a Voronoi polygon, and the set of all Voronoi polygons for a given point set is called a Voronoi diagram.

## Visualization

Use one of these methods to plot a Voronoi diagram:

• If you provide no output argument, voronoi plots the diagram.

• To gain more control over color, line style, and other figure properties, use the syntax [vx,vy] = voronoi(...). This syntax returns the vertices of the finite Voronoi edges, which you can then plot with the plot function.

• To fill the cells with color, use voronoin with n = 2 to get the indices of each cell, and then use patch and other plot functions to generate the figure. Note that patch does not fill unbounded cells with color.

## Examples

### Example 1

This code uses the voronoi function to plot the Voronoi diagram for 10 randomly generated points.

```x = gallery('uniformdata',[1 10],0);
y = gallery('uniformdata',[1 10],1);
voronoi(x,y)```

### Example 2

This code uses the vertices of the finite Voronoi edges to plot the Voronoi diagram for the same 10 points.

```x = gallery('uniformdata',[1 10],0);
y = gallery('uniformdata',[1 10],1);
[vx, vy] = voronoi(x,y);
plot(x,y,'r+',vx,vy,'b-'); axis equal```

Note that you can add this code to get the figure shown in Example 1.

```     xlim([min(x) max(x)])
ylim([min(y) max(y)])```

### Example 3

This code uses voronoin and patch to fill the bounded cells of the same Voronoi diagram with color.

```x = gallery('uniformdata',[10 2],5);
[v,c]=voronoin(x);
for i = 1:length(c)
if all(c{i}~=1)   % If at least one of the indices is 1,
% then it is an open region and we can't
% patch that.
patch(v(c{i},1),v(c{i},2),i); % use color i.
end
end
```