1. Scientific Visualization CS 521 CS 521 Spring ’05 Spring ’05 Eli, Drew, Shaz Eli, Drew, Shaz

2. Introduction SciVis utilizes computer graphics, image processing, signal processing as techniques to analyze numerical data. SciVis utilizes computer graphics, image processing, signal processing as techniques to analyze numerical data. It makes it much easier to understand results of complex numerical data analysis It makes it much easier to understand results of complex numerical data analysis The visualization helps scientists to interact and investigate with certain aspects of the data. The visualization helps scientists to interact and investigate with certain aspects of the data.

3. What it is? The methodology of quickly and effectively representing data. The methodology of quickly and effectively representing data. Humans perceive better than machines, and machines calculate much more consistently and accurately. Humans perceive better than machines, and machines calculate much more consistently and accurately. It is a combination of graphics capabilities in the 21 st century with human perception. It is a combination of graphics capabilities in the 21 st century with human perception.

4. The Need Ability to deal with the randomness included in natures equations. Ability to deal with the randomness included in natures equations. The larger amounts of test data capability, results of which are normally harder to see. The larger amounts of test data capability, results of which are normally harder to see. The largest test data available to us is one nature provides us with. The largest test data available to us is one nature provides us with.

5. Quality Vs. Quantity Quantity Quantity Provides a bigger picture Provides a bigger picture Play with the whole data set Play with the whole data set Quality Quality Ability to slice a subset of the data set. Ability to slice a subset of the data set. Detail – oriented Detail – oriented

6. History Three stages of mdmv (multidimensional multivariate visualization) development Three stages of mdmv (multidimensional multivariate visualization) development Searching stage (1782 – 1976) Searching stage (1782 – 1976) Awakening stage (1977 – 1985) Awakening stage (1977 – 1985) Discovery stage (1987 – 1991) Discovery stage (1987 – 1991)

7. Searching stage Mdmv was to be studies long before computer science by statisticians and psychologists Mdmv was to be studies long before computer science by statisticians and psychologists All studies were in 2D xy displays due to lack of technology. All studies were in 2D xy displays due to lack of technology.

8. Awakening stage Tukey came out with data analysis methods Tukey came out with data analysis methods 2D and 3D spatial data was commonly studied during the time. 2D and 3D spatial data was commonly studied during the time. It was not just a tool anymore but a way of understanding how to decode data It was not just a tool anymore but a way of understanding how to decode data

9. Discovery Stage Moved away from just data analysis to very high graphical visualizations which required a lot of computation power. Moved away from just data analysis to very high graphical visualizations which required a lot of computation power. Virtual reality brought new meaning to visualization techniques. Virtual reality brought new meaning to visualization techniques. NFS declared the need for 2D/3D spatial visualization. NFS declared the need for 2D/3D spatial visualization.

10. Breakdown Independent variable – Dimension Independent variable – Dimension Dependent variable – Variate Dependent variable – Variate Equation – Equation – Y = f(x) Y = f(x) Y is dependent on X Y is dependent on X

11. 2D Visualization Example Example of 2D visualization (charts) most commonly used in business applications. Example of 2D visualization (charts) most commonly used in business applications.

12. 3D Visualization Example Reynard Motorsport Engineers recognized as leader in Formula 1 and Indy car design use Ensight to study airflows. Reynard Motorsport Engineers recognized as leader in Formula 1 and Indy car design use Ensight to study airflows. Voith hydro to design more efficient hydroelectric turbines less harmful to fish. Voith hydro to design more efficient hydroelectric turbines less harmful to fish.

13. Motivations The availability of increasingly powerful computers with extremely fast internal and external memory. The availability of increasingly powerful computers with extremely fast internal and external memory. Compresses a lot of data into one picture (data browsing). Compresses a lot of data into one picture (data browsing). Reveals co-relations between different quantities both in space and time. Reveals co-relations between different quantities both in space and time. Possible to view data selectively and interactively in ‘real time’. Possible to view data selectively and interactively in ‘real time’.

14. Foundations Spatial – oriented Spatial – oriented Still graphs used, all relevant data is displayed at the same time in a given space Still graphs used, all relevant data is displayed at the same time in a given space Multiple view vs. multiple symbol Multiple view vs. multiple symbol Multiple view – one display panel shows values of multiple variables simultaneously Multiple view – one display panel shows values of multiple variables simultaneously Multiple symbol – Only one symbol is used but conditional relationships are shown in multiple panels. Multiple symbol – Only one symbol is used but conditional relationships are shown in multiple panels.

15. Example

16. Foundations Temporal Oriented Temporal Oriented Also known as Kinematic displays (Tukey and Tukey 1988) Also known as Kinematic displays (Tukey and Tukey 1988) Variations across time are utilized to depict higher dimensions instead of using all variables within given space and time. Variations across time are utilized to depict higher dimensions instead of using all variables within given space and time.

17. References http://pareonline.net/getvn.asp?v=8&n=17 http://pareonline.net/getvn.asp?v=8&n=17 http://pareonline.net/getvn.asp?v=8&n=17 http://www.cse.ohio- state.edu/~crawfis/cis694L/ http://www.cse.ohio- state.edu/~crawfis/cis694L/ http://www.cse.ohio- state.edu/~crawfis/cis694L/ http://www.cse.ohio- state.edu/~crawfis/cis694L/ SciVis presentation of spring ’03 CS521 SciVis presentation of spring ’03 CS521 http://www.ceintl.com/industries/industries.ht ml http://www.ceintl.com/industries/industries.ht ml http://www.ceintl.com/industries/industries.ht ml http://www.ceintl.com/industries/industries.ht ml