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

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成果类型:
期刊论文
作者:
Zhang, Zuo;Lu, Xinhai(卢新海);Zhou, Min;Song, Yan*;Luo, Xiang*;...
通讯作者:
Luo, Xiang;Song, Yan
作者机构:
[Lu, Xinhai; Luo, Xiang; Zhang, Zuo; Kuang, Bing] Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
[Lu, Xinhai; Zhou, Min] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Hubei, Peoples R China.
[Song, Yan] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
[Song, Yan] Univ N Carolina, Dept City & Reg Planning, Chapel Hill, NC 27599 USA.
通讯机构:
[Luo, Xiang] C
[Song, Yan] S
[Song, Yan] U
Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
语种:
英文
关键词:
housing price;spatial morphology;urban spatial structure;digital elevation model (DEM);geo-visual analytics
期刊:
Sustainability
ISSN:
2071-1050
年:
2019
卷:
11
期:
2
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71774066, 41401631]; Fundamental Research Funds for the Central Universities in China [2020516032116, CCNU18ZYTS05, CCNU18XJ019]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018M642882, 2018M642883]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE
机构署名:
本校为第一且通讯机构
院系归属:
公共管理学院
摘要:
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 de...

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