2021
DOI: 10.1111/jors.12522
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Tracking the pulse of a city—3D real estate price heat maps

Abstract: This paper proposes the use of a semiparametric model based on a locally weighted approach that controls for dynamic agglomeration and diffusion effects in constructing localized housing price indices. Based on residential transaction records in Singapore, we create threedimensional interactive heat maps that allow for better measurement and visualization of spatial variations and heterogeneity in price appreciation. The heat map captures regional variations and temporal dispersions in price appreciation rates… Show more

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Cited by 5 publications
(2 citation statements)
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References 29 publications
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“…Zhang, Lu [50] visualised the spatial morphology of housing prices in 3D by digital elevation model (DEM)-based analysis in Wuhan, China, which enhanced the spatial interpretation of the complex spatial pattern of housing prices. Agarwal, Fan [51] created 3D heat maps to represent the value dynamics from 1995 to 2017 in Singapore, and they managed to capture spatiotemporal changes in price appreciation. Belej and Figurska [40] revealed spatial discontinuities of property values in Olsztyn, Poland.…”
Section: The Relevant Research Of 3dpvmentioning
confidence: 99%
“…Zhang, Lu [50] visualised the spatial morphology of housing prices in 3D by digital elevation model (DEM)-based analysis in Wuhan, China, which enhanced the spatial interpretation of the complex spatial pattern of housing prices. Agarwal, Fan [51] created 3D heat maps to represent the value dynamics from 1995 to 2017 in Singapore, and they managed to capture spatiotemporal changes in price appreciation. Belej and Figurska [40] revealed spatial discontinuities of property values in Olsztyn, Poland.…”
Section: The Relevant Research Of 3dpvmentioning
confidence: 99%
“…Based on the estimated values, we created a 3-dimensional heat map of housing values in Fig. 11 (Agarwal, Fan, McMillen, & Sing, 2020a). The value heat map shows prices are distributed spatially across the island with different peaks in selected neighbourhoods.…”
Section: Potential Applicationsmentioning
confidence: 99%