2020
DOI: 10.3390/rs12020229
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3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams

Abstract: An immanent feature of the housing market is a large spatial dispersion of real estate prices along with their simultaneous high stratification. Application of classic methods of data interpolation results in an excessive simplification of the outcome because of a conversion of the dispersed data sets into areas of spatial continuity by reducing the above-average real estate prices. The main aim of the article was to search for spatial discontinuities of real estate prices’ distribution with 3D modeling using … Show more

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Cited by 11 publications
(11 citation statements)
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“…At the same time, a number of studies identify the advantages of localization, such as municipal transport accessibility [91,92], the vicinity of green areas [93], revitalization [78,94], and others. The presented study provides new arguments in the discussion on the complexity of the real estate market in terms of spatial non-linearity [95] and the diversification of property price determinants.…”
Section: Discussionmentioning
confidence: 94%
“…At the same time, a number of studies identify the advantages of localization, such as municipal transport accessibility [91,92], the vicinity of green areas [93], revitalization [78,94], and others. The presented study provides new arguments in the discussion on the complexity of the real estate market in terms of spatial non-linearity [95] and the diversification of property price determinants.…”
Section: Discussionmentioning
confidence: 94%
“…Voronoi diagrams, also known as Voronoi tessellation, are used to analyze spatial data. In this method, a selected surface or space is divided into a set of pre-defined geometric figures that fill the analyzed area completely without leaving gaps or creating overlapping shapes [ 35 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Regular tessellations that divide space into polygons with equal angles and sides of the same length [ 64 , 65 ] are widely used to model urban areas [ 40 ]. However, they have many limitations, particularly in the context of mapping irregularly distributed phenomena in the real world that are inherently too complex for regular grids [ 35 ]. Methods based on irregular polygons enable tessellation fitting to the studied phenomenon or area in a more flexible manner, and they support the identification of hierarchical relationships within spatial arrangements in relation to the examined attributes [ 35 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, such personal information protection needs to be overhauled for inheritance [25][26][27].…”
Section: Council Of Europe Convention 108mentioning
confidence: 99%