INTRODUCTION TO VISUALIZATION A OVERVIEW

Transcription

1 Cyberinfrastructure Technology Integration (CITI) Advanced Visualization Division INTRODUCTION TO VISUALIZATION A OVERVIEW Vetria L. Byrd, PhD REU Coordinator June 03, 2014 REU SITE Research Experience for Undergraduates in Collaborative Data Visualization Applications Funded by NSF ACI Cyberinfrastructure Technology Integration (CITI) Advanced Visualization Division INTRODUCTION TO VISUALIZATION A HIGH-LEVEL OVERVIEW Vetria L. Byrd, PhD REU Coordinator June 03, 2014 REU SITE Research Experience for Undergraduates in Collaborative Data Visualization Applications Funded by NSF ACI

2 VETRIA L. BYRD, PHD Visualization Scientist Advanced Visualization Division Clemson Computing & Information Technology Located in Barre Hall (behind McAdams) MISSION STATEMENT Enable researchers to gain keen insight into their data by equipping them with tools and resources that will allow for visualizing the expected, and discovering the unexpected in their data. í ixàü t Agent of Insight Insight 2

3 AGENT OF INSIGHT Introduce Visualization to the greater Clemson University community Increase Clemson s presence in the visualization community Visualization Workshops Designed to provide varying levels of interest Open source tools VISUALIZATION IS POWERFUL About 75% of the visual cortex is devoted to our visual system; or 75% of the brain is devoted to our visual cortex We are really good at pattern matching understanding things by sight We are exploiting what our brain does naturally every day. ~Kelly Gaither, PhD (TACC) 3

4 WHAT DOES VISUALIZATION MEAN? PRETT Y PICTURES 4

5 VISUALIZATION Dictionary.com vis u al ize [vizh vizh-oo-uh-lahyz] verb, vis u al ized, vis u al iz ing. verb (used without object) 1.to recall or form mental images or pictures. verb (used with object) 2.to make visual or visible 3.to form a mental image of. 4. to make perceptible to the mind or imagination. 10 WHEN SHOULD YOU START THINKING ABOUT VISUALIZATION? 5

6 Where is Visualization? Although these steps are numbered, researchers often move around in the circle in multiple directions (especially steps 4 through 7) WHAT IS THE PURPOSE OF VISUALIZATION? 6

7 The purpose of visualization is insight, not pictures. ~Ben Shneiderman Dictionary.com IN SIGHT [IN IN-SAHY T] noun 1. an instance of apprehending the true nature of a thing, especially through intuitive understanding. 2. penetrating mental vision or discernment; faculty of seeing into inner character or underlying truth. 3. Psychology. a. an understanding of relationships that sheds light on or helps solve a problem. b. (in psychotherapy) the recognition of sources of emotional difficulty. c. an understanding of the motivational forces behind one's actions, thoughts, or behavior; self-knowledge. 7

8 WHY IS INSIGHT IMPORTANT? Insight Leads to... DISCOVERY Visualizing Patterns over Time 17 8

9 Insight Insight Leads to Discovery Spotting Differences Insight Leads to... Allows users to answer questions they didn t know they had DECISION MAKING 19 9

10 Insight Leads to... ANALYSIS OF DATA The Challenger Disaster File: Challenger_explosion.jpg 20 Insight Leads to... Visualizing Spatial Relationships EXPLANATION Above Average Average Below Average Source: A Tour through the Visualization Zoo by Heer, Bostock & Ogievetsky (ACM Queue, 2010) 21 10

11 CAN ANYONE THINK OF ANOTHER REASON WHY INSIGHT IS IMPORTANT? Insight... Tells a Story THE USE OF VISUALIZATION IN THE ANALYSIS OF POLLUTION AND AIR FLOWS IN MANHATTAN, NEW YORK CIT Y 11

12 NAPOLEON S INVASION OF RUSSIA IN 1812 BY JACQUE MINARD Best Statistical Graphic, Ever! Army Size: 100,000 Army Size: 422,000 Moscow Path of retreat Army Size: 10, Temperature Importance of Insight Explanation Insight Tells a Story... 12

13 VISUALIZATION APPLICATIONS 26 VISUALIZATION APPLICATIONS Biological Data Non- Numerical Data BioVis InfoVis VISUALIZATION Geospatial Data Simulated, 3D Phenomena GeoVis SciVis 13

14 VISUALIZATION APPLICATIONS Biovisualization The visualization of biological data; Often grouped with computer animation BioVis VISUALIZATION APPLICATIONS Information Visualization Interdisciplinary Study of the visual representation of largescale collections of non-numerical information InfoVis 14

15 VISUALIZATION APPLICATIONS Geographic Visualization Interdisciplinary Study of the visual representation of largescale collections of non-numerical information GeoVis VISUALIZATION APPLICATIONS Scientific Visualization Primarily concerned with the visualization of three-dimensional phenomena Emphases on realistic renderings of volumes, surfaces, illumination sources, etc. SciVis 15

16 CUTTING-EDGE RESEARCH IN VISUALIZATION Healthcare with interactive visualization Visual Analysis of Social Media Data Story Telling Large Area Displays More... May 2013 Issue UNDERLYING PRINCIPLES 33 16

17 Evolution of Presenting Information 3D Renderings of a Simulation Over Time Animated 2D Images 3D Static Images Vector Display and Plotter Graphics Characters on Paper 34 THE DATA BioVis Biological Data VISUALIZATION InfoVis Non-numerical Data GeoVis Scientific Visualization Geospatial Data Simulated, 3D Data 17

18 THE DATA Images Survey information Simulated Data Numerical Non-Numerical Some measured value Network Database Etc FROM DATA TO INSIGHT Data Representation Visualization Primitives Graphics Primitives Display Iteration and Refinement Texas Advanced Computing Center 18

19 FROM DATA TO INSIGHT There are a number of steps between raw data and a finished visualization Single tool or multiple tools might be used VISUALIZATION PIPELINES 39 19

20 VISUALIZATION PIPELINE Data Filter, transform, subset Visualization Mapper Render Display Figure reconstructed from: High Performance Visualization, E.W. Bethel, et al., Chapman & Hall/CRC Computational Science Series, THE INFORMATION VISUALIZATION PROCESS Source: 20

21 THE PRACTICE OF SCIENTIFIC VISUALIZATION SCIENTIFIC VISUALIZATION PIPELINE 42 VISUALIZATION EXTRACTING THE ESSENTIALS 43 21

22 EXTRACTING THE ESSENTIALS Once you ve identified a specific research project, you ll most likely require a greater understanding of the research ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain 22

23 ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What, conceptually, are you trying to achieve? What s the research goal? What s your contribution? What s new? 23

24 ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain How are you going to realize the concept? How are you going to implement the concept? ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What previous research are you building on? What s already been done? 24

25 ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What are the characteristics of the data analyzed and to be visualized? What s the spatial dimensionality 2D, surfaces, 3D? What s the temporal dimensionality static or timedependent? ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What s the dataset s resolution and size? Is the dataset multiresolution or adaptive resolution? Are the data samples given on a structured or unstructured grid? What is the data type: scalar, vector,... 25

26 ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What basic visualization techniques are used? Volume rendering Ray tracing Parallel coordinates Tree maps More... ESSENTIALS The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain What application domain are the visualizations being applied to? 26

27 INTERDISCIPLINARY RESEARCH REPRESENTED IN VIS2014 REU Genetics & Biochemistry Geophysics Sociology Molecular Modeling and Simulation Plant Population and Community Ecology Inorganic Chemistry Computer Science Physical Chemistry Digital Humanities Anthropology and Sociology Biological Sciences Electrical and Computer Engineering VISREU PARTICIPANTS You are here 27

28 VIS REU Extract The Essentials for Your Projects The Concept The Implementation Related Work Data Characteristics Visualization Techniques Application Domain Source: How to Read a Visualization Research Paper: Extracting the Essentials Robert S. Laramee, Swansea University, May/June 2011, IEEE Computer Society Thank You! Vetria (Vee-Tree-Ah) L. Byrd, PhD Visualization Scientist 2097 Barre Hall vlbyrd@clemson.edu Funded by NSF ACI

29 COMING SOON... Vis Lectures Research Methods Design Principles Visual Encodings Color and Data Abstraction How not to Lie with Visualization More pending... Hands on Training Introduction to Blender Intro to Scientific Visualization ParaView VisIt Intro to Information Visualization Using Tableau Introduction to Processing (Pending) 29