Voronoi Diagrams (Thiessen/Dirichlet Polygons)

The Voronoi diagram subdivides the X-Y space of the chart into polygons surrounding each data point. These polygons represent the most compact division of space possible. Any location within a Voronoi polygon is closer to its enclosed point than to any other points. Hence the Voronoi diagram is particularly suited for studying the area of influence of each point.

Aabel provides the following Voronoi types:

• Plain Voronoi
• Polygons color coded by calculated area
• Polygons color coded by values of a third variable
• Polygons color coded by area-normalized values of Z