From Data Chaos to the Visualization Cosmos Robert S Laramee

Transcription

1 From Data Chaos to the Visualization Cosmos Robert S Laramee Robert S. Laramee

2 The Age of Digital Enlightenment Real World Challenge Physical (Analogue) Approach Not feasible Digital Solution Data Chaos Visualization Cosmos Start: Problem, Goal, Challenge Propose physical or analogue solution Physical solution is too expensive or impossible Digital hardware/ software solution is proposed Digital solution leads to data chaos Robert S. Laramee 1

3 The Universal Big Data Story (and Quandary) Geography and Health Care Physics of Foam Visualization Computational Biology and Molecular Dynamics Marine Biology and Animal Movement Call Center Understanding Engineering and Automotive Engine Design Sports Science, Video and Rugby Banks etc: customer and finance data Call Centers: customer and employee data Retail: customers, sales, financial, stock data Web sites: Web traffic data, internet data, cybersecurity Transportation: air traffic, trains, automobile, cycling, walking data, smart city data Health Care: NHS, Public Health England, electronic health records You: photos, videos, and files Robert S. Laramee 2 Everyone and Everywhere People like to collect

4 Visualization is Good For Visualization, in order to: Explore no a-priori knowledge about the data, Visualization serves to explore the data Analyze There is a hypothesis, Visualization Serves to Confirm/Refute (Disprove) Present The data characteristics are well known, Visualization. Serves to communicate the results Accelerate Gain a quick overview, fast analysis Robert S. Laramee 3

5 Examples of Digital Enlightenment Physics and Foam Visualization Understanding Call Centers and Their Customers Geography and Improving Health Care Engineering and Automotive Engine Design Computational Biology and Molecular Dynamics Marine Biology and Animal Tracking Robert S. Laramee 4 Sports Scientists: video & events

6 Swirl Example and from Tumble Physics: Motion FoamVis Goal: Understanding foam dynamics Analogue Solution: experimental methods Digital (Software) Solution: foam simulation à millions of events Constriction simulation: average velocity over all time steps Robert S. Laramee 5

7 Example: Geography Goal: Understanding Public Health Analogue Solution: Hire More NHS Staff Digital (Software) Solution: collect diagnoses à millions of records, multivariate, couple with geography Robert S. Laramee #

8 Example: Geography Robert S. Laramee 7

9 Example: Chemistry Goal: understanding biology at molecular level Analogue Solu-on: experiments, Nuclear Magne8c Resonance (NRM) spectroscopy Digital Solu-on: molecular dynamics simula8on (MDS) Robert S. Laramee 8 9

10 Example: BioScience Challenge: understanding marine wildlife behavior Analogue Solu-on: follow the animals Digital Solu-on: Biologists at Swansea adach sensors To gather data on: accelera8on, temperature, pressure, etc Robert S. Laramee 9 10

11 Swirl Example: and Visualization Tumble of Call Center Motion Data Goal: Understanding call center behavior Analogue Solution: hire more people à $$$ Digital (Software) Solution: event database à millions of events Robert S. Laramee 11 The Search for Swirl and Tumble Motion

12 Example: Investigating Swirl and Tumble Flow with a Swirl and Tumble Motion Comparison of Techniques Goal: swirl motion characterized by motion about cylinder-aligned axis more stable (easier) Analogue Solution: build engine Goal: tumble motion characterized by motion about axis orthogonal to cylinder unstable, more difficult Digital Solution: CFD Robert S. Laramee 11

13 Example: Glyph-Sorting for Interactive Visualization of Sports Video Goal: win more games Analogue Solu-on: hire more people, study videos Digital Solu-on: record event data à thousands of events Robert S. Laramee 12 13

14 Acknowledgements Thank you for your attention. Any Questions? Thanks to the following people: Naif Alharbi, Paul Brookes, Matthieu Chavant, Tom Cheesman, Min Chen, David Chung, Tony D Cruz, Iwan Griffiths, Christoph Garth, Edward Grundy, Hans Hagen, Helwig Hauser, Mark W Jones, Robert Kosara, Phillip Legg, Matthew Parry, Richard Roberts, Juergen Schneider, Gary Smith, Chao Tong, Daniel Weiskopf, Rory P Wilson, Robert S. Laramee 13