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机构地区:[1]福建师范大学地理科学学院,福建福州350007
出 处:《农业系统科学与综合研究》2010年第3期257-263,共7页System Sciemces and Comprehensive Studies In Agriculture
基 金:国家社会科学基金项目(03BTJ004);福建省社会科学规划项目(2008B2006)
摘 要:探讨ESDA空间自相关分析与GIS的结合应用、空间权重矩阵构建的合理途径及其自动生成方式。以福建省为例,着眼于内涵型经济增长方式,将单一的原始指标集成组合指标,并运用PCA方法建立农业经济综合指数AECI;在ArcGIS和GeoDA软件支持下考察各县域单元之间的农业经济空间关联模式与空间依赖性,以及这些属性随时间的变动状况。结果显示:从全局看,福建省县域农业经济基础和发展水平呈显著的空间聚集态势且不断增强;从局域看,属"高-高"关联模式的县域数量增长显著,一批先进的农业经济地域综合体已确立或出现雏形,但仍有37.3%的县域始终未偏离"低-低"关联模式。研究表明:ESDA-GIS空间分析方法可清楚地揭示农业经济发展的空间异质性,并获得直观的可视化效果。图3,参25。An exploration was conducted to the application of the spatial autocorrelation analysis in ESDA combined with GIS, and the reasonable way along with the automatic generation method to build spatial weight matrix. Taking Fujian province as an example and the pattern of intensive economic growth as an angle of view, some combinalion indicators were made up of more single original indicators, and then were transformed to the Agroeconomic Comprehensive Index (AECI) using the method of PCA. The spatial association pat- terns and spatial dependence among the units in county-level along with the alteration of these attributes were investigated using the soft- ware of ArcGIS and GeoDA. The results show as follows : First, in an overall perspective, the agroeconomic foundation and develop- ment level of county units in Fujian province have made a significant and even stronger spatial gathering trend. Then, in a partial per- spective, the amount of county to the "high-high" association pattern has grown remarkably and some advanced agroeconomic regional syntheses have appeared or displayed their rudiments, while there are some counties in the province (37.3% of all) having never deviated from the "low-low" association pattern. The research proves that the ESDA - GIS spatial analysis could reveal the spatial heterogeneity of the agroeconomic development clearly and obtain intuitional visual effect.
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