/ As part of the planning process, maps of natural factors are often superimposed in order to identify areas which are suitable or unsuitable for a particular type of resource management. Overlay maps may also be used to identify analysis areas for predictive modeling of resource productivity and ecological response to management. Current interest in applying computer-assisted mapping technology to making overlay maps is drawing attention to geographic information systems for this purpose. The resultant maps, however, may be so inaccurate or unable to capture significant units of productivity and ecological response that they could lead to imperfect or false conclusions. Recommendations are made on how to proceed in light of these problems.An increasingly common part of the planning process for wildland areas is the preparation of map overlays to determine the suitability of an area for alternative resource management. Techniques for suitability analysis are presented in a number of papers (Varnes 1974, Larson and others 1977, Hopk]ns 1977, Ferguson 1981, FAO 19841 Steiner 1983. Maps of natural factors such as bedrock geology, soil, slope, and vegetation are superimposed in order to locate and delineate areas where particular factor combinations occur. This is done either by manually overlaying the factor maps or with an automated geographic information system (GIS). A geographic information system is a computer information system with the capability of handling spatially related data, specifically map-related data such as soil type boundaries and stream networks.An accurate overlay map would have unquestionable value in identifying types of land that will respond in a coherent and uniform way to the application of a variety of management practices. A mapping system for identifying such land types could be useful in current attempts to model the response of wildland areas. Of these models--for example, FORPLAN (Johnson and others 1986)--most utilize land types which are represented in the model by the component known as an analysis area. Because of their fundamental impor-