<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boots, Barry</style></author><author><style face="normal" font="default" size="100%">Feick, Robert</style></author><author><style face="normal" font="default" size="100%">Shiode, Narushige</style></author><author><style face="normal" font="default" size="100%">Roberts, Steven</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Investigating recursive point Voronoi diagrams</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Geographic Information Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><pages><style face="normal" font="default" size="100%">1-21</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Recursive Voronoi diagrams (RVDs) use Voronoi concepts to tessellate a space with respect to a given set of generators and repeat the construction every time with a new generator set consisting of objects selected from the previous generator set plus features of the current tessellation. In this paper, we investigate the behaviour of three variants of a single recursive Voronoi construction involving point generators. We describe how these structures may be constructed in Arc/Info. Although we suggest that RVDs have a number of potential uses in GIS, we focus on a spatial modelling perspective and examine some of their statistical characteristics. The RVDs examined are found to be fractal in nature.&lt;/p&gt;</style></abstract></record></records></xml>