Spatial Interpolation of the Average Air Temperature in Hainan Island Based on DEM
The mean monthly air temperature of 18 meteorological stations from 1979 to 2008 was analyzed.A variety of interpolation methods were used to study the mean air temperature spatial distribution based on DEM.Different interpolation methods such as the combination of stepwise regression and inverse distance weighing interpolation method,the combination of stepwise regression and ordinary kriging interpolation method,the combination of stepwise regression and spline interpolation method,the combination of stepwise regression and trend interpolation method were analyzed by the prediction accuracy verified by 5 validated stations,and gird maps of mean air temperature spatial distribution were carried out a comparative analysis.The result demonstrated that the combination of stepwise regression and inverse distance weighting interpolation method had the highest prediction accuracy,and was better than others.