Abstract
Abstract Responsive geographical information systems (GIS) address the needs of the decision-maker working in a spatially oriented environment where data is regularly updated, where the data is often voluminous, incomplete, and noisy, and where timely decisions must be made. Such environments stretch the capabilities of traditional GIS. A responsive GIS must play a more active role in the support of the decision-maker. This paper introduces the concept of a responsive GIS and demonstrates the integration of artificial intelligence techniques to provide such active support. Expert knowledge, represented as Templates, can have both spatial and temporal components, and remains within the GIS framework rather than providing separate, and often disjoint, GIS and Expert System modules.
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