Knowledge Acquisition for Spatial Inference — The Case of Genetic Algorithms

Intelligent SDSS integrating human expertise and very large spatial databases have become a necessity for solving our highly complex spatial problems such as resource exploration, land-type classification, transportation planning, and environmental management. In addition to a sound theoretical foundation, a good system design, and a powerful and user-friendly software environment, the success of intelligent SDSS lies heavily on the domain specific knowledge they acquired. Knowledge acquisition thus plays a very important role in the design of intelligent SDSS in general and spatial expert systems in particular (Barbanente et al., 1992).