| The imbalance of regional economic development in various regions of the process of social and economic development can not be avoided,which relates to the sustainable development of regional economy and social stability,and concentrated expression of as a regional economic unbalanced regional economic difference,has been the subject of widespread concern of scholars all over the world.In this paper combined with regional economics,traditional statistics and geostatistics theory,with per capita net income of rural residents as the reseArch object,taken 101 villages in Yanshan County in Yunnan Province as the study area,in 2007 to 2014 as study period,choose appropriate tools and parameters,implicit in the attribute data of the study area the useful spatial information mining,using the traditional statistics,space self related and exploring spatial data analysis method in the study area rural economy development difference of temporal and spatial evolution process of analysis,reseArch achievements are as follows:(1)During the period from 2014 to 2007,the average per capita net income of rural residents in the study area showed a trend of rising year by year.(2)In this paper,the standard deviation and the Gini coefficient are calculated as the absolute difference and the relative difference.After calculation,the absolute difference of the rural economy in the study area is showing a trend of increasing year by year,and the relative difference of the rural economy in the study area is in a trend of fluctuation.(3)Using ArcGIS software to combine the attribute data of the study area with the vector Map,and the visual expression of the rural attribute data in the study area.Able to clear that from 2007 to 2014 through comparison of 2007 and 2014 in the study area of rural residents per capita net income of spatial pattern,the spatial pattern of the study area the development of rural economy has changed,the level of income from the more dispersed to have obvious spatial agglomeration,overall spatial distribution pattern from North to south,from north to south the slantwise development trend.(4)Using spatial autocorrelation analysis to carry on the analysis,through the global Moran's I index calculation,it is found that the study area of rural economic differences gradually have more significant positive spatial autocorrelation characteristics,and gradually formed a strong spatial aggregation.The Moran scatter plot and Lisa concentration diagram combined said of rural economy in the study area is gradually showing a strong spatial dependence and spatial heterogeneity,shows the study area of the regional differences of the rural economic development is more and more big,obvious dual economic structure,spatial pattern of distribution for the northwest and central part of the economically developed areas,southeast and southwest economic backward areas.Through the analysis of spatial pattern evolution of cold hot spot,the hot spot area is shifted from the south to the north;the cold spot area is transferred from the north to the south,and appears in the southern area.(5)Exploration on the application of spatial data analysis model of the data space differentiation characteristics were analyzed,the variation function of the exponential model fitted by using the Kriging method.The rural economy difference model is constructed.Through the model analysis of the rural economy in the study area spatial situation for from northwestern economy developed to the southwest of the economically backward gradually fall transition and the eastern and southern edge of regional economic development are relatively backward.Using traditional statistics and spatial analysis methods combined,on the difference of regional rural economic development spatial and temporal evolution of the analysis and reseArch,the qualitative analysis the effect of the difference of regional economic development factors,and combined with the actual situation and proposes some suggestions on the coordinated development of regional economy and provide the decision-making basis for the relevant units. |
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