This article describes the adaptation of the authors' Structured Public Involvement, or SPI, framework for community involvement in the end-state visioning process for the PGDP facility. The SPI framework is designed to elicit community values and provide access to these as a decision support system for the development of feasible, legitimate, and durable end-state management plans. This SPI protocol is designed around community evaluation of visualizations. Key properties of visual evaluation methods for large group visualization are discussed and the Casewise Visual Evaluation method is outlined. CAVE uses a fuzzy logic based neural network modeling approach to build a knowledge base for community preferences across all feasible end-state scenarios. The potential PDGP end-state land-use properties developed from focus group work are integrated into a sample range of dynamic visualizations and the sampling protocol is described. Preliminary results will be presented at the conference.