This study aimed to generate multiple regression equations with quadratic functions to estimate both monthly and annual minimum, mean and maximum air temperatures for the Northeast region. It will provide subsidy to agroclimatic planning in the regions where these data are not available. Temperature data used to determine the equations coefficients were obtained from 74 meteorological stations listed in climatological normals of the states of Northeast region - Brazil, provided by INMET. Based on the adjusted models, thematic maps of monthly and annual minimum, mean and maximum air temperatures were generated. The obtained equations presented good values of R². However, when the equations were used for high altitude places they tended to present low values of air temperature. The adjusted equations and its spatialization is an alternative available to enlarge the climatic data base of this region.
temperature; regression equations; agroclimatic planning
