Maize is one of the main food crops in China. Due to too much scales of maize environmental regionalization description, the partition environmental characteristics are not satisfied with the test requirements of the fine varieties, and only using several years average values to describe the spatial characteristics of the environment can not enough recognize the multiple environment test of the environment. The geographical grid was taken as the unit, and the three northeastern provinces as the study area. By using the 21year meteorological data, DEM, slope and the planting area of spring maize in the three provinces of Northeast China, the every year environment characteristic was used as index to build a multiyear environmental characteristic mean database and a several years environment characteristics database. From the temporal and spatial perspective, the attribute clustering method was used to research a maize environment fine division method. The result was that the environmental characteristics of the three provinces in Northeast China were divided into seven categories. The regionalization of maize planting environment in the three provinces of Northeast China was carried out by using the belonging degree analysis method for category, and compared with the spatial regionalization of the mean value of environmental characteristics for many years, the result of spatialtemporal regionalization was more precise and the environmental cognition was more full.