The invention discloses a soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables. The soil organic matter space distribution predication method is characterized by comprising the following steps: (1) data sources; (2) auxiliary data sources and processing; (3) a research method; (4) a contrast method. With the adoption of the technical scheme, compared with the prior art, the soil organic matter space distribution predication method applies an artificial neural network model and carries out space distribution predication of the content of soil organic matters on the basis of fusing the qualitative and quantitative auxiliary environment variables including soil types, terrain factors, vegetation indexes and the like, so as to provide method references for the regional high-precision space distribution predication of soil properties.