Information Visualization: Perception for DesignElsevier, 2013 - 512 páginas "This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"-- |
Contenido
Chapter 1 Foundations for an Applied Science of Data Visualization | 1 |
Chapter 2 The Environment Optics Resolution and the Display | 31 |
Chapter 3 Lightness Brightness Contrast and Constancy | 69 |
Chapter 4 Color | 95 |
Chapter 5 Visual Salience and Finding Information | 139 |
Chapter 6 Static and Moving Patterns | 179 |
Chapter 7 Space Perception | 239 |
Chapter 8 Visual Objects and Data Objects | 293 |
Chapter 10 Interacting with Visualizations | 345 |
Chapter 11 Visual Thinking Processes | 375 |
Changing Primaries | 425 |
CIE Color Measurement System | 427 |
The Perceptual Evaluation of Visualization Techniques and Systems | 431 |
Guidelines | 445 |
| 459 | |
| 497 | |
Otras ediciones - Ver todas
Information Visualization: Optimizing Design for Human Perception Colin Ware,Jakob Neilsen,Stuart Card,Jonathan Grudin,Tim S. Kelly Sin vista previa disponible - 1999 |
Términos y frases comunes
algorithm applied background basic blue channels Chapter chromatic coding cognitive color space complex components computer graphics concepts consider contours contrast effects data space data visualization defined depth cues diagram dimensions display distinct effective entities environment epistemic action example eye movements feature field fixation focus fovea geon glyph gray green highlighting human illustrated in Figure important Information Visualization interactive interface kind language light long-term memory luminance contrast method monitor motion moving navigation neurons nodes orientation parallel coordinates patterns perceived perception pixels preattentive problem processing receptive field regions relationships represent representation scale scatterplot screen sensitivity shading shape shown in Figure shows simple spatial frequency static stereo stereoscopic depth structure studies surface symbols target task techniques texture theory tion treemap values variables virtual visual angle visual objects visual query visual system visual thinking visual working memory zoom