v.voronoi.1grass man page

v.voronoi — Creates a Voronoi diagram in current region from an input vector map containing points or centroids.


vector, geometry, triangulation, skeleton


v.voronoi --help
v.voronoi [-aslt] input=name  [layer=string]  output=name  [smoothness=float]   [thin=float]   [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]



Create Voronoi diagram for input areas


Extract skeletons for input areas


Output tessellation as a graph (lines), not areas


Do not create attribute table


Allow output files to overwrite existing files


Print usage summary


Verbose module output


Quiet module output


Force launching GUI dialog


input=name [required]

Name of input vector point map
Or data source for direct OGR access


Layer number or name (’-1’ for all layers)
A single vector map can be connected to multiple database tables. This number determines which table to use. When used with direct OGR access this is the layer name.
Default: -1

output=name [required]

Name for output vector map


Factor for output smoothness
Applies to input areas only. Smaller values produce smoother output but can cause numerical instability.
Default: 0.25


Maximum dangle length of skeletons
Applies only to skeleton extraction. Default = -1 will extract the center line.
Default: -1


v.voronoi creates a Voronoi diagram (Thiessen polygons) from points or centroids.

The bounds of the output map are limited by the current region (see g.region).

The -a flag can be used to create a Voronoi diagram for areas.

The -s flag can be used to extract the center line of areas or skeletons of areas with thin >= 0. Smaller values for the thin option will preserve more detail, while negative values will extract only the center line.


Voronoi diagrams may be used for nearest-neighbor flood filling. Give the centroids attributes (start with v.db.addcolumn), then optionally convert the result to a raster map with v.to.rast.

The extraction of skeletons and center lines with the -s flag is a brute force approach. Faster and more accurate algorithms to extract skeletons from areas exist but are not yet implemented. In the meantime, skeletons and center lines can be simplified with the Douglas-Peucker algorithm: v.generalize method=douglas.


Voronoi diagram for points

This example uses the hospitals in the North Carolina dataset.

g.region -p raster=elev_state_500m
v.voronoi input=hospitals output=hospitals_voronoi

Voronoi diagram for hospitals in North Carolina

Voronoi diagram for areas

This example uses urban areas in the North Carolina dataset.

g.region -p n=162500 s=80000 w=727000 e=846000 res=500
v.voronoi input=urbanarea output=urbanarea_voronoi -a

Voronoi diagram for urban areas in North Carolina

Skeletons and center lines of areas

This example uses urban areas in the North Carolina dataset.

g.region -p n=161000 s=135500 w=768500 e=805500 res=500
v.voronoi input=urbanarea output=urbanarea_centerline -s
v.voronoi input=urbanarea output=urbanarea_skeleton -s thin=2000

Skeleton (blue) and center line (red) for urban areas in North Carolina


Steve J. Fortune,  (1987).  A Sweepline Algorithm for Voronoi Diagrams, Algorithmica 2, 153-174 (DOI).

See Also

g.region, v.delaunay, v.hull


James Darrell McCauley, Purdue University
GRASS 5 update, improvements: Andrea Aime, Modena, Italy
GRASS 5.7 update: Radim Blazek
Markus Metz

Last changed: $Date: 2015-05-22 17:06:44 +0200 (Fri, 22 May 2015) $

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