Mining Measurement of Spatial Autocorrelation Based on Spatial Adjacency Indez: A Case Study in Land Use of Jiangzia District in Wuhan City
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.
land-use spatial autocorrelation spatial data spatial weight matriz adjacency indez
Liu Yang Yanfang Liu Yin Xia Wei Liu
School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan, 430079, P.R.C School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan, 430079, P.R.C
国际会议
上海
英文
4700-4703
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）