The invention discloses an air temperature space-time prediction distribution diagram drawing method, and the method comprises the steps: collecting data; selecting a model; determining the s value of a product season ARIMA(p, d, q)(P, D, Q) s model; determining parameter values of the model; carrying out the diagnosis and verification of the ARIMA(p, d, q)(P, D, Q) s model; carrying out the preprocessing of the Kriging interpolation data; building a Kriging model variation function; carrying out the Kriging interpolation and diagnosis; drawing an air temperature space-time prediction distribution diagram. The method solves problems that the predicted space-time distribution diagram is poor in precision and feasibility because the meteorological time and space rules are usually separated in a conventional meteorological data research method in the prior art, and the conventional meteorological data research method cannot fully explore the space-time data values through single time sequence analysis and spatial interpolation analysis, will lose the spatial distribution rule of data because the conventional meteorological data research method just carries out time analysis and will lose the time rule of station data because the conventional meteorological data research method just carries out the spatial analysis.