GIS technology based minimum temperature spatial interpolation method in Qinghai Province

The multiple linear regression model and multiple linear regression model were established using Kriging interpolation method and Statistic Analysis Software based on the climate data in 30 years from 50 meteorological stations in Qinghai Province. Grid cell value with 500 m 500 m of minimum temperature in January, April, July, October were calculated to produce a minimum temperature map of Qinghai Province. The effects of different interpolation methods were analyzed. Results showed that the multiple linear regression model and multidimensional quadratic trend surface model were better than the Kriging interpolation method in January, April and October; and Kriging interpolation method was better in July.