IN31D:
Innovative Visualization Technologies for Earth and Space Science Applications II: General Topics
Submit an Abstract to this Session
Session ID#: 35013
Session Description:
Data visualization is a rapidly evolving field, offering new approaches to explore scientific data. Emerging technologies such as virtual reality and augmented reality (VR/AR) are being explored as effective, intuitive, and compelling methods for visualizing multidimensional geospatial datasets to enhance research, exploration and analysis. The ability to visualize Earth and planetary science data within these new environments allows users to “see” data differently and glean new insights relating to structures and geometries, multivariate correlations and relationships, statistical quantities, and geophysical processes. The tools and platforms available for producing scientific visualizations offer many choices that come with advantages and disadvantages. We must ensure that the visualizations we develop are accurate, useful, and informative, while taking into account ease of use, cost of implementation, data and software compatibility, and community preferences. This session invites presentations focused on new and innovative work in data visualization in support of the Earth and Space sciences.
Primary Convener: Alexandria Ware, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
Conveners: Charles K Thompson, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Kristopher William Larsen, University of Colorado at Boulder, Boulder, United States and Christian Alarcon, Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs: Kristopher William Larsen, University of Colorado at Boulder, Boulder, United States and Alexandria Ware, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
OSPA Liaison: Alexandria Ware, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
Cross-Listed:
Abstracts Submitted to this Session:
Xander Wang, University of Louisiana at Lafayette, School of Geosciences, Lafayette, LA, United States and Gordon Huang, University of Regina, Institute for Energy, Environment and Sustainable Communities, Regina, SK, Canada
Anirudh Prabhu1, Peter Arthur Fox2, Hao Zhong2, Ahmed M Eleish3, Xiaogang Ma4, Stephan Zednik5, Shaunna M Morrison6, Dr. Elisha K. Moore, PhD7, Drew Muscente8, Michael Meyer9, Robert M Hazen10 and Deep Time Data Infrastructure Team, (1)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States, (2)Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, NY, United States, (3)Carnegie Inst Washington, Earth and Planets Laboratory, Washington, United States, (4)University of Idaho, Department of Computer Science, Moscow, ID, United States, (5)Pearson, Denver, CO, United States, (6)Carnegie Institution for Science Washington, Geophysical laboratory, Washington, DC, United States, (7)Rutgers University, Marine and Coastal Sciences, New Brunswick, NJ, United States, (8)Harvard University, Cambridge, MA, United States, (9)Carnegie Institution for Science Washington, Washington, DC, United States, (10)Carnegie Inst, Washington, DC, United States
Matthew F Cechini1, Ryan A Boller2, Katie Baynes3, Jeffrey E Schmaltz4, Charles K Thompson5, Joe T Roberts6, Joshua Rodriguez7, Min Minnie Wong8, Benjamin Adam King2, Jerome King9, Alexander P De Luca8 and Natalie N Pressley10, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA Headquarters, Earth Science Data Systems, Washington, DC, United States, (4)NASA Goddard Space Flight Center, Science Systems and Applications, Inc., Greenbelt, MD, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)Jet Propulsion Laboratory, Pasadena, CA, United States, (8)Columbus Technologies and Services Greenbelt, Greenbelt, MD, United States, (9)Columbus Technologies and Services Inc., Greenbelt, MD, United States, (10)Science Systems and Applications, Inc., Greenbelt, MD, United States
Kristopher William Larsen1, Alexandria Ware2, Dylan Nguyen2, Fernando Sanchez2 and Douglas M Lindholm3, (1)University of Colorado at Boulder, Boulder, United States, (2)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (3)University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, United States
Shane Loeffler1, Ross Thorn2, Amy Myrbo3, Robert Roth2, Simon J Goring4 and Jack Williams5, (1)University of Minnesota Twin Cities, LacCore/CSDCO, Minneapolis, MN, United States, (2)University of Wisconsin Madison, Geography, Madison, WI, United States, (3)Amiable Consulting, Box 18654, Minneapolis, United States, (4)University of Wisconsin, Department of Geography, Center for Climatic Research, and Data Science Institute, Madison, United States, (5)University of Wisconsin-Madison, Department of Geography, Madison, WI, United States
Francesca Samsel, University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States
Haixing Liu, Wen Wang, Tianyun Su, Zhenya Song and Zhen Jia, First Institute of Oceanography, Qingdao, China
Larry L. Biehl1, Wei-Kang Hsu2, Abdur Rahman M. Maud3 and Tsung Tai Yeh2, (1)Purdue University, West Lafayette, IN, United States, (2)Purdue University, Electrical and Computer Engineering, West Lafayette, IN, United States, (3)Institute of Space Technology, Islamabad, Pakistan
