SPATIAL AUTOCORRELATION ANALYSIS OF RESIDENTIAL LAND PRICE IN KUNMING
Arcgis 10.0 was used to analyze the spatial autocorrelation and semivariogram of the samples based on the residential land transaction data of five districts in Kunming from 2012 to 2016,and then the indexes of Moran's I and local Moran's I and the coefficient of Nugget calculated were adopted to analyze the global and local spatial statistics for autocorrelation and spatial heterogeneity.It could further reflect the global and local law and the variability of spatial distribution of land price,and then an accurate and reasonable description of about the macroscopic and microscopic aspects spatial distribution of land price was obtained.The results show that the residential land price of Kunming has a global spatial positive correlation,and also,it has a local spatial clustering characteristics,such as high land price point cluster and low price point cluster.The spatial heterogeneity of Kunming is primarily caused by some random factors.In some rang,spatial heterogeneity strengthens with the increase of the distance.
residential land priceglobal spatial autocorrelationlocal spatial autocorrelation
NETL
NSTL
万方数据
维普
