摘要
阐述了空间统计分析方法的基本原理及其在水质分析中的应用方法,介绍了判断空间关联显著性的相关指标及其计算方法,并以2000年3月太湖水质监测数据为例进行了分析。结果表明,从全局Moran’s I指标看,太湖水质状况在整体上存在显著的空间自相关和聚集模式;从局部Moran’s I指标和局部G系数看,数据在空间上存在3个统计显著性较高的聚集区。
The basic principle of spatial statistical analysis and its application to water quality analysis is described.Significant spatial correlation to judge the correlation between indicators and calculation methods is presented.The water quality monitoring data of Taihu Lake in March 2000 are analyzed as an example.From the global Moran＇s I index,the results show that the water quality of Taihu Lake have significant spatial autocorrelation and accumulation mode on the whole;From the local Moran＇s I index and the local G coefficient,the data have three statistically significant higher gathering area in space.
出处
《水电能源科学》
北大核心
2011年第3期27-30,共4页
Water Resources and Power
