摘要
以黑龙江省近37a的月均气温数据为研究对象,介绍了一类积分式时空协方差(变异)函数模型进行时空Kriging插值。针对月均气温呈现出的明显季节变化,对各站点的气温进行去季节项处理,并在此基础上建立时空变异函数。将空间维的普通Kriging插值扩展至时空维,同时考虑空间和时间相关性对研究变量进行时空估计,并将估计结果与空间Kriging插值效果进行了比较。结果表明,时空插值效果理想,插值精度较空间Kriging更高。
A kind of integrated covariance（variogram） model is introduced for spatial-temporal Kriging interpolation of monthly average temperature of 37 years in Heilongjiang province.As monthly average temperature display obvious seasonal change,seasonal part is removed before interpolation.Spatial-temporal variogram is built based on the ones of pure space and pure time.Extending ordinary Kriging into space-time and considering variable＇s correlation both in space and time,the monthly average temperatures of all stations in 2007 are estimated,and the effect is compared with spatial Kriging＇s.The result shows that spatial-temporal interpolation is practical,and its accuracy is better than that of spatial Kriging.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2012年第2期237-241,共5页
Geomatics and Information Science of Wuhan University
基金
半干旱气候变化教育部重点实验室(兰州大学)开放基金资助项目
国家973计划资助项目(2011CB707103)
国家自然科学基金委员会优秀国家重点实验室研究基金资助项目(41023001)
国家自然科学基金资助项目(41171313)
