Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China

Zuo Zhang, Xinhai Lu, Min Zhou, Yan Song, Xiang Luo and Bing Kuang
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Zuo Zhang: College of Public Administration, Central China Normal University, Luoyu Road, Wuhan 430079, China
Xinhai Lu: College of Public Administration, Central China Normal University, Luoyu Road, Wuhan 430079, China
Min Zhou: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Yan Song: School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Xiang Luo: College of Public Administration, Central China Normal University, Luoyu Road, Wuhan 430079, China
Bing Kuang: College of Public Administration, Central China Normal University, Luoyu Road, Wuhan 430079, China

Sustainability, 2019, vol. 11, issue 2, 1-17

Abstract: In a city, housing price varies with location. Thus, housing price plays an important role in detecting the spatial pattern of the city. Spatial interpolation methods have been widely used for simulating and predicting urban housing prices. In this paper, the Ordinary Kriging interpolation method is used for producing the digital elevation model (DEM) of urban housing prices. Based on the three-dimensional DEM of urban housing price, this paper develops a novel approach for geo–visual analytics of urban housing prices. To investigate and visualize the spatial morphology of housing price, we design the Water-flooding, Section-cutting and Belt-floating methods, and implement these methods with the 3D-analyst module in GIS environment. Then, we take Wuhan City as a case, apply this approach to analyze the complex spatial morphologic characteristics of the DEM for housing price and visualize the results from the multidimensional perspectives. The results show that the Water-flooding method effectively supports the investigation of the top areas of surface changes; Section-cutting method performs well in examining the profile or cross-section of the urban housing surface; and Belt-floating method is helpful for detecting the spatial variance of the urban housing surface through the routes of specific lines. The results demonstrate that the proposed approach works better than traditional methods in describing the complex spatial morphology of urban housing prices, and has an advantage in visualizing the analysis results.

Keywords: housing price; spatial morphology; urban spatial structure; digital elevation model (DEM); geo–visual analytics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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