Applying case-based reasoning techniques in GIS

This paper outlines an approach in applying artificial intelligence techniq ues to solve spatial problems. The approach consists of combining case-base d reasoning with geographical information systems to form a hybrid system t o solve spatial problems. In this paper, the hybrid is applied to the probl em of soil classification which is solved by searching the case base for ot her spatial cases similar to the problem case. The knowledge from the retri eved case is used to formulate an answer to the problem case. The paper com pares the results from this new approach with a traditional method of soil classification.