This paper develops a model designed to distribute spatially recreation use estimates forthcoming from ‘structural demand’ equations of a recreation market. To illustrate the model's operation, a description of its empirical implementation for a regional case study area is given. Data needs and sources are specified, empirical results are set forth, and policy implications are drawn. The ability to use the model to simulate policy actions is pointed out.