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OPTIMIZED RESOURCE ALLOCATION FOR GIS-BASED MODEL IMPLEMENTATION

This paper focuses on a new procedure to support the planning and implementation of GIS-based models. Critical decisions are often based on the outputs of such models. A major goal of the planning stage is to implement a model whose output can reliably support the decision process. The procedure allows the above goal to be achieved with an optimized allocation of resources for GIS data acquisition. It is based on two important modeling tools: uncertainty analysis and sensitivity analysis. An application of the procedure to a GISbased hydrologic model for flood forecasting is discussed.