- Computer Graphics - Visualization
- About: One particular focus in our graphics research is large scale data visualization and analytics. Visualization research is at a unique intersection of computer graphics and data analytics and mining. It has been playing an increasingly important role in a wide range of disciplines such as computational sciences, biomedical imaging, visual analytics, social network analysis, etc.. The current research focuses include flow visualization, time-varying visualization, isosurfaces, biomedical visualization, parallel visualization, and information visualization.
- Research Groups:
- The GRAVITY research group
- About: The GRAphics and VIsualization sTudY (GRAVITY) research group is primarily concerned with large scale data visualization and analysis. Visualization research is at a unique intersection of computer graphics and data analysis and mining. It has been playing an increasingly important role in a wide range of disciplines such as computational sciences, biomedical imaging, visual analytics, and social network data analysis.
- Research Projects:
- Advanced Computing Center for the Arts and Design Research Projects
- About: The Advanced Computing Center for the Arts and Design (ACCAD) is a collaborative think space, a place to make, create, imagine and above all connect. They conduct research centered on the use and integration of emerging arts technologies. ACCAD has become internationally recognized as one of the original and leading centers of its kind, distinguished by the transdisciplinary approach to research and teaching which is so central to its identity.
- Research Labs:
Knowledge Bank - University Library and the Office of Chief Information Officer
- Improving The Visualization of Geologic Data Using Google's KML
- Creators: Arrey, Ayuk
- Abstract: The fast growing nature of technology and computing has facilitated computation in many areas of science and engineering. The geosciences more than ever is also benefitting from these innovations to make sense of mapping. With the aid of geobrowsers like Google Maps and Earth, geoscientists can now tell their stories in ways even a nonscientist can understand. This paper therefore examines how Keyhole Markup Language (KML) can be used to improve the visualization of geologic data, like the earthquake data of Ohio. This paper will explore different ways of using KML to represent this information using three dimensional shapes. This research also shows that KML and geobrowsers offer great potential for visualizing geological data. However, a number of challenges must be resolved to realize this potential.
- Series/Report no.: The Ohio State University. School of Earth Sciences Senior Theses; 2010
- Key Words: KML; Keyhole Markup Language; Ohio; Earthquake data
- A User Study Contrasting 2D Unsteady Vector Field Visualization Techniques
- Creators: Andrysco, Nathan
- Abstract: Scientific visualization is very popular today among many different fields. Its purpose is to take data and represent it visually so that a person can better understand what is occurring with the data. This idea can be as simple as a pie chart or as complex as drawing the beating human heart with data taken from a MRI scan. One particular area of scientific visualization is the representation of flow data. Many methods have been researched and published on how to visualize different types of flow fields, but only a few papers have been published that have attempted to compare and contrast the effectiveness of the various methods. For the study, five different flow field visualization methods are compared – LIC, pathline, streamline, streakline, and hedgehog. A framework was created to not only display each of the methods but also allow the user to interact with them. The user is shown an unsteady flow field using one of the five visualization methods. He may view the flow field at any time step using a slider or hitting a button to animate the flow. The user is asked to make a response on two different types of tests. The first one asks the user to advect a particle to a circle. The angular error is recorded into a file. The second test asks the user to determine where a massless particle might have begun. The number of clicks it takes the user to correctly identify where the particle began is recorded. Statistical analysis was performed on the data to determine which visualization method is the “best”. Unfortunately after using 95% confidence intervals, no statistical conclusions could be drawn about what were the better methods. However, it could be stated that the test method could be refined to produce better results. Or if the test method is fine, it just might be the fact that even with the best visualization methods out there that a person is unable to fully comprehend an unsteady flow field.
- Series/Report no.: The Ohio State University. Department of Computer Science and Engineering Honors Theses;2005
- Keywords: Flow Visualization; User Study; Unsteady Flow Visualization; Vector Visualization
- 3-D printing: The 3-D printing operation in Scott Laboratory is open for Ohio State business, it is overseen by Professor Blaine Lilly . For a small setup fee and the cost of materials, any faculty, staff or student who wants to use the Department of Mechanical Engineering’s printers can. The $25 setup fee is smaller than anything charged in the private sector, and the Stratasys Fortus printer is a state-of-the-art model that can currently print in four different materials, including thermoplastic for high-temperature applications.
- Microsoft Office Visio Professional 2007: Ohio State faculty, staff, full- and part-time students can purchase some of Microsoft's most popular desktop computer software and Windows 32-bit operating system upgrade at significant discounts under a new agreement called the Microsoft Personal Use Program. MS OfficeVisio (formerly Microsoft Office Visio) is a diagramming and vector graphics application and is part of theMicrosoft Office family.
- Gephi: Gephi is an open-source software for network visualization and analysis. It helps data analysts to intuitively reveal patterns and trends, highlight outliers and tells stories with their data. It uses a 3D render engine to display large graphs in real-time and to speed up the exploration. Gephi combines built-in functionalities and flexible architecture to: explore, analyze, spatialize, filter, cluster, manipulate, and export all types of networks. Gephi is based on a visualize-and-manipulate paradigm which allow any user to discover networks and data properties. Moreover, it is designed to follow the chain of a case study, from data file to nice printable maps. Gephi is a free/libre software distributed under the GPL 3 ("GNU General Public License").
- Tableau Softwares: Put together an Academy Award-winning professor, a brilliant computer scientist at the world's most prestigious university, and a savvy business leader with a passion for data. Add in one of the most challenging problems in software - making databases and spreadsheets understandable to ordinary people. You have just recreated the fundamental ingredients for Tableau's products.