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Spatial Pattern Disparity and Cultivated Land Quality Based on Moran's I Analysis

We introduce spatial autocorrelation analysis of Moran's I index to measure spatial variables that characterize cultivated land quality including a land index,land use index and land grade index. Using a polygon of cultivated land as the analysis unit,we discuss spatial pattern disparity for Moran's I at the scale of county and township. We found that at the same spatial scale,different types of cultivated land quality index have a positive spatial correlation with a strong degree of concentration. The spatial autocorrelation analysis result of Guangning County in 2010 shows that the index reflecting cultivated land quality(land index,land use index and land grade index)has a stronger positive spatial correlation,and the Moran's I index is greater than 0.55. The land index is stronger,followed by the land grade index;the land use index was the weakest with a dispersed spatial pattern. At different spatial scales,the cultivated land quality index had various degrees of spatial correlation. Generally,the autocorrelation level at the scale of county was higher than that of township;judging from data at the scale of township,Moran's I in most towns was lower than that of county. In addition,the spatial autocorrelation coefficient at the scale of county and township reveal that the coefficient is gradually expanding in the order of land index,land use index and land grade index. Cultivated land quality was classified based on Moran's I. By introducing spatial weight to describe characteristics of spatial distribution,spatial correlation as a fourth dimension should be added as a factor in zoning cultivated land protection.