Local and Remote Visualisation Techniques
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1 Local and Remote Visualisation Techniques UvA High Performance Computing course Robert Belleman, Informatics Institute (II), UvA Paul Melis, SURFsara Casper van Leeuwen, SURFsara Thijs de Boer, Institute for Biodiversity and Ecosystem Dynamics (IBED), UvA
2 Program for today 13:00 13:10 Welcome, overview and Who s who? 13:10 13:15 (room change to GIS studio C4.203) 13:15 14:00 Geographic data visualization 14:00 14:10 (room change to F1.02) 14:10 14:40 Scientific Visualization 14:40 14:55 Introduction to ParaView 14:55 15:45 Hands-on with ParaView 15:45 15:50 ParaView wrap-up 15:50 16:00 Demo: remote Visualization with ParaView 16:00 17:00 Information visualization 17:00 Closing
3 Introduction to Data Visualization Robert Belleman, PhD Informatics Institute University of Amsterdam
4 Scientific Visualization and Virtual Reality Computational Science at UvA/IvI collaboration with SURFsara Research theme: interactive visual exploration Software solutions and architectures, Problem Solving Environments, Interactive graphics devices Application areas: computational science (astro)physics, medicine, biology, finance, architecture, computer science,
5 X Y X Y X Y X Y 10,00 8,04 10,00 9,14 10,00 7,46 8,00 6,58 8,00 6,95 8,00 8,14 8,00 6,77 8,00 5,76 13,00 7,58 13,00 8,74 13,00 12,74 8,00 7,71 9,00 8,81 9,00 8,77 9,00 7,11 8,00 8,84 11,00 8,33 11,00 9,26 11,00 7,81 8,00 8,47 14,00 9,96 14,00 8,10 14,00 8,84 8,00 7,04 6,00 7,24 6,00 6,13 6,00 6,08 8,00 5,25 4,00 4,26 4,00 3,10 4,00 5,39 19,00 12,50 12,00 10,84 12,00 9,11 12,00 8,15 8,00 5,56 7,00 4,82 7,00 7,26 7,00 6,42 8,00 7,91 5,00 5,68 5,00 4,74 5,00 5,73 8,00 6,89 A B C D Anscombe s quartet, F.J. Anscombe, Graphs in Statistical Analysis, American Statistician, 27 (February 1973),
6 X Y X Y X Y X Y 10,00 8,04 10,00 9,14 10,00 7,46 8,00 6,58 8,00 6,95 8,00 8,14 8,00 6,77 8,00 5,76 13,00 7,58 13,00 8,74 13,00 12,74 8,00 7,71 9,00 8,81 9,00 8,77 9,00 7,11 8,00 8,84 11,00 8,33 11,00 9,26 11,00 7,81 8,00 8,47 14,00 9,96 14,00 8,10 14,00 8,84 8,00 7,04 6,00 7,24 6,00 6,13 6,00 6,08 8,00 5,25 4,00 4,26 4,00 3,10 4,00 5,39 19,00 12,50 12,00 10,84 12,00 9,11 12,00 8,15 8,00 5,56 7,00 4,82 7,00 7,26 7,00 6,42 8,00 7,91 5,00 5,68 5,00 4,74 5,00 5,73 8,00 6,89 A B C D μ x = 9.00, σ x = 3.32 μ y = 7.50, σ y = 2.03 linear regression: y = ½x + 3 Anscombe s quartet, F.J. Anscombe, Graphs in Statistical Analysis, American Statistician, 27 (February 1973),
7 12,00 10,00 8,00 6,00 4,00 2,00 0,00 0,00 5,00 10,00 15,00 A 10,00 9,00 8,00 7,00 6,00 5,00 4,00 3,00 2,00 1,00 0,00 0,00 5,00 10,00 15,00 B 14,00 14,00 12,00 12,00 10,00 10,00 8,00 8,00 6,00 6,00 4,00 4,00 2,00 2,00 0,00 0,00 5,00 10,00 15,00 C 0,00 0,00 5,00 10,00 15,00 20,00 D Anscombe s quartet, F.J. Anscombe, Graphs in Statistical Analysis, American Statistician, 27 (February 1973),
8 Uses for visualization 1. Support research activities Explore or compare datasets, verify simulation correctness, discuss results with peers, For PR and communication purposes Posters, journals, website, YouTube, funding proposals,... Depending on audience and goal need different type of visualization Scientific visualization (functional) Scientific illustration (pretty) No clear boundary between these two
9 Visualization taxonomy Scientific visualization ( scivis ) Data with an implicit or explicit geometric structure Measurements, results from simulations or experiments Information visualization ( infovis ) Data with an abstract structure Relations, graphs and networks Visual analytics Interactive environments for the detection of the expected and discovery of the unexpected
10 Scientific visualization Scientific visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments or simulations to achieve a deeper understanding or a simpler representation of complex phenomena. Martin Rotard, Daniel Weiskopf, and Thomas Ertl, Curriculum for a Course on Scientific Visualization, Eurographics / ACM SIGGRAPH Workshop on Computer Graphics Education (2004)
11 Scientific visualization This visualization illustrates Earth s long-term warming trend, showing temperature changes from 1880 to 2015 as a rolling five-year average. Orange colors represent temperatures that are warmer than the baseline average, and blues represent temperatures cooler than the baseline. Credits: Scientific Visualization Studio/NASA Goddard Space Flight Center
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14 Information visualization In information visualization, the graphical models may represent abstract concepts and relationships that do not necessarily have a counterpart in the physical world. Maria Cristina Ferreira de Oliveira, Haim Levkowitz, [doi.ieeecomputersociety.org/ /tvcg From Visual Data Exploration to Visual Data Mining: A Survey], IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp , July-September, 2003.
15 The Billion Dollar-o-gram, by David McCandless, July 2010
16 The Billion Dollar-o-gram, by David McCandless, July 2010
17 Bandwidth of our senses, Tor Norretanders
18 Visualization of HIV infection networks using Twilight, Zarrabi, Melis, Belleman
19 Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four
20 Visual Analytics Detecting the expected, discovering the unexpected Combines automatic and visual analysis methods with a tight coupling through human interaction in order to gain knowledge from data.
21 Visual Analytics The OncoRecipesheet, Stamatakos, Lunzer, Melis, Belleman
22 Visualization software Often domain-specific Commercial: Matlab, Mathematica, IDL AVS (Advanced Visual Systems) IRIS Explorer (?) Amira Spotfire, Tableau Public domain: Scientific visualization VTK ParaView VolView VisIt DeVIDE SCIRun Information visualization Visualize Free D3.js Medical visualization MeVisLab Networks/graphs Gephi Cytoscape Plotting R gnuplot
23 Software: Tableau
24 Software: Spotfire
25 DIY Software: D3.js D3.js tutorial
26 Processing
27 The Visualization Toolkit (VTK) VTK is: open source visualization library C++ library with > 1500 classes Language bindings to Java, Python, Tcl, Ruby works on Unix/Linux, Windows, MacOS object-oriented design VTK provides: Visualization methods to turn data into geometry Graphics model to turn geometry into images (OpenGL) Image processing methods
28 The Visualization Toolkit (VTK) VTK is not: VTK is not a programming language VTK is not an application No drag-and-drop visual program editor as with AVS, Iris Explorer, OpenDX, etc. You have to program More info:
29 ParaView
30 Robert G. Belleman, PhD Informatics Institute Universiteit van Amsterdam Science Park XH Amsterdam
Introduction to scientific visualization with ParaView
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