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With the rapid development of rural socio-economic in China, multi-source statistical information is one kind important data to enhance decision-making for government. The rural has become a major problem. In this paper, a set of GIS spatial analysis methods of rural social-economic data were proposed and researched on, spatial data and statistical data were integrated to create a comprehensive spatial...
With the rapid development of database technique and computer technology nowadays, it is no longer a difficult problem to manage mass statistical data with computer and database system. However, from the statistical mode and time series of rural socio-economic statistical survey, we know that the statistical data have both spatial and temporal attribute, so the traditional systems have no enough ability...
The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial...
The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, we take the Beijing-Tianjin-Hebei metropolitan region as research object and take the county administrative division as the basic research units. Considering the spatial characteristics, the exploratory spatial data analysis method of GIS is introduced, which includes global spatial autocorrelation...
The aim of this paper is to study the regional economic difference with the spatial data mining theories. In this paper, we take the per capita agricultural total output value as index variable, and take the township as the basic analysis unit. Based on the ESDA methods (global and local spatial autocorrelation) of spatial data mining theory, including Moran I index, Moran Scatter Plot and LISA, we...
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