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3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams

Department of Spatial Analysis and Real Estate Market, University of Warmia and Mazury in Olsztyn, Prawocheńskiego 15, 10-720 Olsztyn, Poland
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Remote Sens. 2020, 12(2), 229; https://doi.org/10.3390/rs12020229
Received: 2 December 2019 / Revised: 1 January 2020 / Accepted: 6 January 2020 / Published: 9 January 2020
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 Voronoi diagrams as a method of irregular division of this space. Used methods of geospatial analyses with GIS tools enabled to identify clusters of high housing market activity and to avoid an excessive generalization of data resulting from the reduction of the above-average real estate prices. The research was conducted for over 7000 real estate transactions in years 2010–2017 in Olsztyn, the capital city of Warmia and Mazury in Poland, resulting in a 3D visualization of real estate prices for the chosen market, including the discontinuity in their spatial distribution.
Keywords: voronoi diagrams; GIS analysis; 3D modeling; housing market voronoi diagrams; GIS analysis; 3D modeling; housing market
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Bełej, M.; Figurska, M. 3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams. Remote Sens. 2020, 12, 229.

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