ED43C:
Sympathy for the Data: Novel Approaches to the Art of Data Visualization II Posters

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.
Please note: this session is being considered for an alternate session format. Please be aware that if your abstracted is accepted in this session, your abstract may be scheduled as a panel discussion or lightning poster presentation. For more information please visit the following link: http://fallmeeting.agu.org/2016/alternate-session-formats/.


Session ID#: 13499

Session Description:
Representing data in a clear, concise and attractive manner is the primary tool scientists use to communicate their research at all levels. Insights into complex systems within Earth sciences often arise through the integration of highly varied, multidimensional, and ever-growing datasets. However, concisely communicating results within traditional frameworks can be challenging.  Developing clear, interactive and intuitive visualization software and pedagogy can aid scientists in sharing new and innovative research with their peers and the general public. We invite abstracts focused on best practices of data visualization in the Earth sciences as well as introducing new approaches and platforms.  Abstracts will ideally center on data visualization across a breadth of subjects and the inter-disciplinary potential of methods/products. Although the primary focus of the session focuses on visual aids, alternative approaches (e.g. the use of sounds) to communicating data are encouraged.
Primary Convener:  Martin J Pratt, Washington University in St Louis, Department of Earth and Planetary Sciences, St. Louis, MO, United States
Conveners:  Natalie J Accardo1, Hannah S Rabinowitz1 and John Leeman2, (1)Columbia University of New York, Palisades, NY, United States(2)Leeman Geophysical, Siloam Springs, United States
Chairs:  Martin J Pratt, Washington University in St Louis, Department of Earth and Planetary Sciences, St. Louis, MO, United States and Natalie J Accardo, Columbia University of New York, Palisades, NY, United States
OSPA Liaison:  John Leeman, Leeman Geophysical, Siloam Springs, United States
Co-Organized with:
Public Affairs, and Public Affairs

Cross-Listed:
  • PA - Public Affairs

Proposed Co-Organized Session with:
  • PA - Public Affairs
Index Terms:

0825 Teaching methods [EDUCATION]
0845 Instructional tools [EDUCATION]
1980 Spatial analysis and representation [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]

Abstracts Submitted to this Session:

User Driven Data Mining, Visualization and Decision Making for NOAA Observing System and Data Investments (138424)
Matthew Austin, National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States
The VIMS Data Explorer: A tool for locating and visualizing hyperspectral data (141523)
Virginia D Pasek, Dyer M Lytle and Robert Hamilton Brown, University of Arizona, Tucson, AZ, United States
Visualizing water (145255)
Fedor Baart1, Anna van Gils1, Gerben Hagenaars1, Gennadii Donchyts1, Elmar Eisemann2 and Jan-Willem van Velzen2, (1)Deltares, Delft, Netherlands, (2)Delft University of Technology, Delft, Netherlands
Visualizing complex (hydrological) systems with correlation matrices (146507)
Johannes Christoph Haas, University of Graz, Graz, Austria
AnisoVis: a MATLAB™ toolbox for the visualisation of elastic anisotropy (156101)
David Healy, University of Aberdeen, School of Geosciences, Aberdeen, United Kingdom, Nick Timms, School of Earth and Planetary Science, Curtin University, Perth, Australia and Mark A Pearce, CSIRO Earth Science and Resource Engineering Perth, Perth, WA, Australia
Interactive Visualizations of Complex Seismic Data and Models (157847)
Chengping Chai1, Prof. Charles J Ammon, PhD2, Monica Maceira1 and Robert B. Herrmann3, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Pennsylvania State University Main Campus, Department of Geosciences, University Park, PA, United States, (3)Saint Louis University Main Campus, Department of Earth & Atmospheric Sciences, Saint Louis, MO, United States
The GLOBAL Learning and Observations to Benefit the Environment (GLOBE) Data Visualization and Retrieval System. Building a robust system for scientists and students. (181173)
David Overoye, Science Systems and Applications, Inc., Lanham, MD, United States, Cornell Lewis, Science Systems and Applications, Inc., Pasadena, CA, United States, Dixon Matlock Butler, Science Advisor to NASA on the GLOBE Program, Washington D.C., DC, United States and Travis Jay Andersen, University Corporation for Atmospheric Research, Boulder, CO, United States
Virtual Earth System Laboratory (VESL): Effective Visualization of Earth System Data and Process Simulations (184682)
Justin D Quinn1, Eric Y Larour2, Daniel Lop-Chi Cheng2 and Daria J Halkides3, (1)University of California Irvine, Irvine, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)Earth and Space Research, Seattle, WA, United States
Visualizing Cross-sectional Data in a Real-World Context (187151)
Koen Van Noten, Royal Observatory of Belgium, Seismology-Gravimetry, Brussels, Belgium and Thomas Lecocq, Royal Observatory of Belgium, Brussels, Belgium
A New Approach to the Visual Rendering of Mantle Tomography (187848)
Benjamin K Holtzman, Lamont-Doherty Earth Observatory, Palisades, NY, United States, Martin J Pratt, Washington University in St Louis, Department of Earth and Planetary Sciences, St. Louis, MO, United States, Matthew Turk, University of Illinois at Urbana Champaign, Urbana, IL, United States and David Alexander Hannasch, University of Illinois at Urbana Champaign, Data Exploration Laboratory, National Center for Supercomputing Applications, Urbana, IL, United States
Visualization and Analysis of Geology Word Vectors for Efficient Information Extraction (195507)
Jacqueline S Floyd, Element List Labs, Austin, TX, United States
Vcs.js - Visualization Control System for the Web (196296)
Dan Lipsa1, Aashish Chaudhary1, Charles Doutriaux2, Jonathan D Beezley1, Dean Norman Williams2, Samuel Fries2 and Matthew J Harris2, (1)Kitware Inc., Clifton Park, NY, United States, (2)Lawrence Livermore National Laboratory, Livermore, CA, United States

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