2012Wuhan Daxue xuebao. Xinxi kexue banRequires access

Interpolation of Temperature Based on Spatial-temporal Kriging

Zhengquan Xu

Open publisher page 2 citations

Abstract

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.

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What this paper is about

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.

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Available abstract

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.

Key concepts: Variogram, Kriging, Interpolation (computer graphics), Covariance, Multivariate interpolation, Spatial correlation, Spatial variability, Spatial dependence

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