基于多源数据融合的统计数据空间网格化模型研究  

Research on Grid Transformation Model of Statistical Data Based on Multi-source Information Fusion

作　　者：卢克[1] 吴建玉[1] 

机构地区：[1]浙江水利水电专科学校,浙江杭州310018

出　　处：《浙江水利水电专科学校学报》2011年第3期55-58,共4页Journal of Zhejiang Water Conservancy and Hydropower College

基　　金：浙江水利水电专科学校校科研基金资助项目(XK2008-25)

摘　　要：统计数据调查多以行政单元为空间范围,为解决其在多源数据综合应用分析等方面的空间范围局限性,需对其进行网格化转换.提出一种基于多源数据融合的通用模型,先确定影响统计指标分布的因子,然后对单元格进行各因子的影响权重计算,将各因子的权重值叠加,最后通过单元格上的权重值和去调整统计指标值的分布.实验表明,该模型在基于遥感、地形、生态等数据融合基础上,能使网格结果在空间分配上更科学化.In china, administration space units are used as statistical areas by current official statistics survey, which need griddling based on the GIS because of its limits in integrated application of multi-source statistical data. The grid transformation model is introduced in the paper in view of multi-sources information fusion, confirming the factors that would impact the distribution of statistics index. The influential weight of relative factors on space units is evaluated and overlaid, in order to adjust the covariance index. It is found by experiments that the model ensures more scientific space distribution in grid transformation based on the multi-source information fusion of remote sensing, terrain, ecology, etc.

关 键 词：统计数据 网格化 多源数据融合 模型 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]