2010W


Instructor
TA




MAT259 Visualizing Information(4 units)


George Legrady
Reza Ali


Lecture/lab: Tues-Thurs 11:00-1:00 Estudio/Arts old gym 479-1211


Course Description

A lecture and lab course to explore the visual organization of information. Lectures, readings and technical demos will focus on a range of conceptual models of data visual mapping as implemented in various disciplines, artistic, statistical and scientific, that are used to represent information visually.

All the projects and demos will be using the same dataset collected since 2005 through the Seattle Public Library project to facilitate skill acquisition in visual and information design. Presentations and Projects to address 3 forms of data visualization: 1) 2D Spatial Mapping, 2) 3D Volumetric Data 3) 3D Spatial, time-based and Interactive. Mailling List

2008 projects | 2009 projects: Syed Reza Ali | A.Burbano | D.Hardy | P.Hovey | M.Hubert


Koolhaas' Seattle Library

OMA/LMN Concept Book | PrinceRamus on TED | SPL Architecture


Making Visible the Invisible

Project Link | ICHIM Publication | Mapping Statistics Interview


The Data

XML Format Data | Dewey Classification | ItemTypes | Histogram


TextBook

Graphics of Large Datasets, Unwin, Theus, Hofmann


SECTION 2D
MULTIDIRECTIONAL FLOW IN 2D MAPPING SPACE

[wk 1]......Lecture 1.05 Introduction: Data Overview
  Overview of Seattle data, format, etc.
Intro to data Visualization (To translate abstract data into visual form)
 
Lab 1.07 XMLstripper | SPLDataTools | Week1Demos
  Introduction to the Processing environment | XML Basic


Reading
Information Visualization (Robert Kosara - publ) | Txtbook: 1-Introduction, 2-Statistical Graphics

[wk 2]......Lecture 1.12 2D Spatial Mappings
Histogram [1] | Scatterplot [interactive] | Boxplot | Mosaic | Parallel Coordinates [1] [2] || Treemap [1] | heatmap [1] | Misc: Mice/Elephant | Various 2D
Angus Forbes SPL DataVis: Expl | [1] [2] [3] [Avrg] code

Lab 1.14 Interactive Histogram | Week2Demos


Reading
Visual Metaphors (Ziemkiewicz/Robert Kosara) | Txtbook: 3-Scaling up Graphics

[wk 3]......Lecture 1.19 Aesthetics & Visual Language Basics [PPT]
Visual Complexity | Spatial Info Design Lab [million dollar blocks - pdfDoc]


1.21 Presentation: 2D Spatial Mapping
Ben Alun-Jones
Andrew Ballinger
Eliza Bradley
Laura Devendorf
Zachary Rubin


Reading
Visualization Criticism, Kosara

SECTION 3D
MULTIDIRECTIONAL FLOW IN 3D MAPPING SPACE

[wk 4]............Lab 1.26 Week3Demos

 
Lab 1.28 Week3Demos
 

[wk 5]......Lecture 2.02 3D Volumetric Visualization
SearchScapes, Manhattan | Synoptic | pushandplay |

Lab 2.04 Week4Demos
 

Reading
Txtbook: 5-Multivariate Data, 7-Multivariate: Parallel Coordinates

[wk 6]......Lecture 2.09 Discipline Specific Perspectives [PPT]

Historical examples Tufte [2]
Scientific Visualization Studio: NASA | Wolfram's New Kind of Science
Library Science: Information retrieval | data mapping
Social Science/Geography: GIS | CyberSpace | CyberGeography
Information Aesthetics: Infosthetics | Visual Complexity

Lab 2.11 Week5Demos

SECTION 4D
3D SPATIAL TEMPORAL INTERACTIVE

[wk 7].......Lecture 2.16 Time Based Visualization & Narrative
Data in 3D Space
Mass
Interactive
Time Wrap Map
Torus 3D

Syed Reza | YChuang |
Chaos Form | Velocity | Lorenz [1] |
3D Tetrahedon Space |
Elouini DataForm | Severe Storm | Tufte | Dark Matter |
Flow Time | Torus Wrap | DataMapped

 
lab 2.18 Week6Demos
 

Reading
Txtbook: 8-Networks, 9-Trees

[wk 8].......Lecture 2.23 Translation & Metaphor, Interactive
To use a set of data for another purpose (light, noise as a way to design a building)
 
Lab 2.25 Week7Demos


[wk 9].................. 3.02

Independent Meetings


3.04 Presentation: 3D Volumetric Visualization
Ben Alun-Jones
Andrew Ballinger
Eliza Bradley
Laura Devendorf
Zachary Rubin
 

[wk 10]............Lab 3.09 Dead Week; Production
 
Lab 3.11 Dead Week; Production


[wk 11]................. 3.16

Presentation: Final Projects
Ben Alun-J ones
Andrew Ballinger
Eliza Bradley
Laura Devendorf
Zachary Rubin

 


Grading
Completion of 3 projects 25% each
Participation and Literature Review Review25%

The course is designed to accommodate both beginning and advanced students. All students will be expected to perform at the level of their expertise but programming experience is desirable.