Title :
Mining Measurement of Spatial Autocorrelation Based on Spatial Adjacency Index: A Case Study in Land Use of Jiangxia District in Wuhan City
Author :
Yang, Liu ; Liu, Yanfang ; Xia, Yin ; Liu, Wei
Author_Institution :
Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan
Abstract :
The spatial autocorrelation supplies measurement to spatial structure based on the contiguity relation or distance relation of grid cells. It ignores that most of spatial data is caught by irregular polygons. Furthermore, this rational spatial autocorrelation is unable to express the interactions between the irregular cells. This paper introduces the adjacency index from landscape ecology, in order to improve the spatial weight matrix, and to perfect the spatial autocorrelation analyses. After introducing the adjacency index, the approach is used to analyze the data of Jiangxia district in 2006, which belongs to Wuhan city in Hubei province of China. The results suggest that the improved spatial autocorrelation has a better ability to identify spatial convergences, spatial isolation and spatial heterogeneity points.
Keywords :
correlation methods; ecology; land use planning; China; Hubei province; Jiangxia District; Wuhan City; contiguity relation; grid cells; irregular polygons; land use; landscape ecology; mining measurement; spatial adjacency index; spatial autocorrelation; spatial convergence; spatial heterogeneity; spatial isolation; Autocorrelation; Cities and towns; Data analysis; Electronic mail; Environmental factors; Information analysis; Random variables; Remote sensing; Statistics; Uncertainty;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.333
