2012
DOI: 10.1080/13658816.2012.655742
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Zone design of specific sizes using adaptive additively weighted Voronoi diagrams

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Cited by 14 publications
(7 citation statements)
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“…Solving these problems from a GIScience perspective may lead to a tractable solution, highlighting the importance of geographical insights [19,20]. The use of ordinary and nonordinary Voronoi diagrams to solve districting problems has been reported in many literatures [21][22][23]. Novaes et al [22] took advantage of the Voronoi diagram to detect the spatial relationship and solved geometrical barriers problem successfully.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Solving these problems from a GIScience perspective may lead to a tractable solution, highlighting the importance of geographical insights [19,20]. The use of ordinary and nonordinary Voronoi diagrams to solve districting problems has been reported in many literatures [21][22][23]. Novaes et al [22] took advantage of the Voronoi diagram to detect the spatial relationship and solved geometrical barriers problem successfully.…”
Section: Introductionmentioning
confidence: 99%
“…Murray and Tong [19] have raised the issue that only point-based representations are too simplistic to represent more complex vector objects like polygons in GIS. On the other hand, traditional methods make the shape of zones tend to be a circle or a square [21,24]. That no longer applies with the presence of geometrical barriers problem.…”
Section: Introductionmentioning
confidence: 99%
“…For example, multiplicative weighting has been used in applications such as determination of retail trade areas, in logistics districting and zone design, in proteomics, and for various purposes in geographic information systems . Additive weighting has also been used in zoning problems, as well as for applications in molecular biology…”
Section: Generalizations Of Voronoi Diagramsmentioning
confidence: 99%
“…If the original space is composed of a large number of basic spatial units (BSU), then spatial partitioning is aggregating or grouping of these units into larger zones (Figure 1) (Bozkaya et al, 2003;Macmillan, 2001;Salazar-Aguilar et al, 2010;Shirabe, 2005;Yamada, 2009). Spatial partitioning is a multi-objective optimization problem, for which several methods have been proposed based on heuristic and meta-heuristic algorithms (Bação et al, 2005;Bozkaya et al, 2003;Mehrotra, 1998;Wei, 2004) as well as the data structures used in computational geometry (Moreno-Regidor et al, 2012;Mu, 2004;Novaes et al, 2009;Salazar-Aguilar et al, 2010;Svec et al, 2007;Torpelund-Bruin and Lee, 2009;Yamada, 2009 …”
Section: Problem Descriptionmentioning
confidence: 99%