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ISPRS Int. J. Geo-Inf. 2016, 5(7), 120; doi:10.3390/ijgi5070120

Integrating Spatial and Attribute Characteristics of Extended Voronoi Diagrams in Spatial Patterning Research: A Case Study of Wuhan City in China

School of Resources and Environmental Engineering, Wuhan University of Science and Technology, No. 947 Heping Road, Wuhan 430081, China
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Author to whom correspondence should be addressed.
Academic Editors: Qiming Zhou and Wolfgang Kainz
Received: 26 April 2016 / Revised: 26 June 2016 / Accepted: 11 July 2016 / Published: 15 July 2016
(This article belongs to the Special Issue Advances and Innovations in Land Use/Cover Mapping)
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Abstract

Rapid urbanization has caused numerous problems, and the urban spatial structure has been a hot topic in sustainable development management. Urban spatial structure is affected by a series of factors. Thus, the research model should synthetically consider the spatial and non-spatial relationship of every element. Here, we propose an extended Voronoi diagram for exploring the urban land spatial pattern. In essence, we first used a principal component analysis method to construct attribute evaluation indicators and obtained the attribute distance for each indicator. Second, we integrated spatial and attribute distances to extend the comparison distance for Voronoi diagrams, and then, we constructed the Voronoi aggregative homogeneous map of the study area. Finally, we make a spatial autocorrelation analysis by using GeoDA and SPSS software. Results show that: (1) the residential land cover aggregation is not significant, but spatial diffusion is obvious; (2) the commercial land cover aggregation is considerable; and (3) the spatial agglomeration degree of the industrial land cover is increased and mainly located in urban fringes. According to the neo-Marxist theory, we briefly analyzed the driving forces for shaping the urban spatial structure. To summarize, our approach yields important insights into the urban spatial structure characterized by attribute similarity with geospatial proximity, which contributes to a better understanding of the urban growth mechanism. In addition, it explicitly identifies ongoing urban transformations, potentially supporting the planning for sustainable urban land use and protection. View Full-Text
Keywords: geospatial proximity; attribute similarity; generalized Euclidean distance; Voronoi diagrams; spatial pattern geospatial proximity; attribute similarity; generalized Euclidean distance; Voronoi diagrams; spatial pattern
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Miao, Z.; Chen, Y.; Zeng, X.; Li, J. Integrating Spatial and Attribute Characteristics of Extended Voronoi Diagrams in Spatial Patterning Research: A Case Study of Wuhan City in China. ISPRS Int. J. Geo-Inf. 2016, 5, 120.

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