A digital soil map was elaborated for an area in the region of Mucugê-BA using data integration derived from a digital elevation model (DEM) of the vegetation and geology that was associated with a soil scientist's knowledge and correlated in a GIS environment (Geography Information System) under fuzzy inference, as a methodological proposal. The methodology was developed and based on the soil-land inference model - SoLIM, on the soil factor equation and the soil-landscape model. The fuzzy logic is able to simulate the uncertainty and transitions that often appear in pedologic systems. The results show that the methodology allows the generation of digital soil maps with increased scale and to reduce soil classe generalizations in the space and parameter domain. However, this methodology is very dependent upon the soil expert's knowledge and accuracy of the data base. To verify the applicability of the methodology the repetition of the study is recommended in other areas and the validation done through field work.
geography information system; geotechnology - GIS; mapping
