New forms of data visualization require new ways of thinking about data, how we work with it and what we expect from it. A fundamental dissonance exists between computer memory and human experience. This becomes especially apparent when human, social, cultural and behavioral data are being consulted to help find the optimum course of action. Our approach to data is based upon Bloom, a core server structure that stores and retrieves data to create a GeoSocial Asset Management Data System that we call a Collective Memory - Knowledge Base. Bloom will organize individual pieces of data temporally, spatially, relationally and contextually in order to better draw correlations However. This will allow us to take full advantage of new technologies like web standard HTML5 to explore more sophisticated methods of presentation including multiple video screens, wavefields, and augmented reality. Since the data model includes the ability to tag physical locations, 100% of a contested area can be mapped and integrated into the system, with possibilities including photo-realistic modeling of the terrain.
Keywords: Visualization, Data Visualization, Geo-Visualization, Information Representation, Augmented Reality, Geosocial Data Presentation, Mapping, Information Mapping
