Interpolation of temperature based on spatial-temporal Kriging

被引：0

作者：

Li, Sha ^{[1
,2
]}

Shu, Hong ^{[1
]}

Xu, Zhengquan ^{[1
]}

机构：

[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[2] Department of Mechanical and Electrical Engineering, Hubei University of Education, 29 Guanggu 2nd Road, Wuhan 430205, China

来源：

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2012年 / 37卷 / 02期

关键词：

D O I：

暂无

中图分类号：

O24 [计算数学];

学科分类号：

070102 ;

摘要：

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.

引用

页码：237 / 241