Name
Title | ||
|---|---|---|
Integrating Spatial and Attribute Characteristics of Extended Voronoi Diagrams in Spatial Patterning Research: A Case Study of Wuhan City in China. |
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/ijgi5070120 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
Keywords | Field | DocType |
geospatial proximity,attribute similarity,generalized Euclidean distance,Voronoi diagrams,spatial pattern | Spatial analysis,Common spatial pattern,Geospatial analysis,Data mining,Urban spatial structure,Voronoi diagram,GeoDa,Geography,Land cover,Cartography,Land use | Journal |
Volume | Issue | Citations |
5 | 7 | 2 |
PageRank | References | Authors |
0.38 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuohua Miao | 1 | 2 | 0.38 |
| Yong Chen | 2 | 52 | 12.67 |
| Xiangyang Zeng | 3 | 2 | 0.38 |
| Jun Li | 4 | 73 | 8.17 |