Hazards are fundamentally understood and experienced spatially; therefore, it is not surprising that hazards research, management, communication, and policy have relied heavily on spatial representations using geomatics tools such as remote sensing and geographic information systems (GIS). As powerful and useful as these tools have been, they tend to privilege the collection and utilization of quantifiable data at the expense of qualitative data (e.g., experiential local knowledge). Local knowledge has been increasingly used both to challenge and to supplement mapping strategies, although less so in the realm of hazards than in other areas such as natural resource management. In this paper, we propose a unique framework for taking these approaches one- step further through the development of a knowledge management system that integrates local knowledge of hazards with spatial visualization tools. First, we discuss relevant literature related to current tools and practices for visualizing hazard information. Next we propose a methodology for mapping mental models of individuals. Finally, we discuss the potential applications of such a framework for hazards research, practice, and policy, as well as discuss the challenges associated with this framework.