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

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.

Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease

“…Verification of the available sources of information was conducted in the same stage. On the basis of literature analysis [12,[40][41][42][43][44][45][46][47] and confrontation with an available source of property registry information the defining and coding of attributes was elaborated. The attribute domains for residential transactions were defined according to the criteria that are presented in Table 1.…”

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

“…As regards newer residential buildings that are often characterized by considerably higher prices than neighboring older buildings, such an approach enabled the search for similar objects at appropriate levels, which were distinct zones in the 3D model. According to Zhang [47], three-dimensional analysis methods had obvious advantages over two-dimensional approaches, especially for multi-information presentation and complex spatial analysis. Previous research on urban housing prices mainly used kriging and co-kriging techniques for price prediction, while the application of geo-visual analytics is rare, especially for the analysis and visualization of non-linear complex urban spatial structures and spatial morphology.…”

A GRID-Based Spatial Interpolation Method as a Tool Supporting Real Estate Market Analyses

“…The resulting model approximates the shape of space in a manner that facilitates shape analysis. The above compensates for the irregularities of the TIN model [51][52][53][54][55], while maintaining the shape of the examined surface, which facilitates the relevant analyses. A GRID structure can be thus used to analyze highly complex data in real estate markets characterized by low transparency and low availability of reliable data.…”