GViz: EXPLORING GROUNDWATER INFORMATION WITH MULTI-DIMENSIONAL GRAPHICS AND A NATURAL USER INTERFACE

Scientific visualizations are powerful tools for recognizing patterns within complex datasets. Effective visualizations are an excellent method for communication within and between disciplines, as well as non-scientific audiences. Modern science and modeling techniques are generating vast datasets that require advanced analysis techniques and benefit from participatory and cross-disciplinary interpretation.

Using a systems perspective for groundwater science, this digital poster highlights examples of traditional scientific graphics and advanced visual informatics to present data relevant to groundwater availability, allocation decisions, and drought planning. Modeled responses for a groundwater case in central Texas are used to evaluate scientific uncertainty in recharge parameters for drought response. Resultant images are displayed on a prototype multi-touch table which provides a natural user interface that enables direct interaction with visualizations in small groups.

The multi-touch table was developed to support participatory modeling research in groundwater cases and for use at science education outreach events, where it was used to engage participants with groundwater science concepts. Implementation objectives included use of off the shelf technologies, programs, and affordable materials, while still maintaining flexibility for future applications. Existing software proved insufficient for highly interactive and effective visualizations and data exploration. While construction of the multi-touch table is easily within the grasp of the layperson, software utilities remain limited and form the largest stumbling block for inexperienced practitioners.

Early results indicate that alternative uses of visuals with multi-touch capabilities provide a robust delivery method for conceptually complex information. The multi-touch table, paired with non-traditional visuals, facilitates presentation of multi-faceted information in an accessible format. Future work will explore potential for use with scientific research teams, participatory modeling with stakeholders, and STEM Education.