تحلیل و طراحی مصورسازی (جلد سخت) -- نوشته‌ی تامارا مونزنر [چاپ ۲۰۱۴] شابک: ۹۷۸۱۴۶۶۵۰۸۹۱۰

__Learn How to Design Effective Visualization Systems__ **Visualization Analysis and Design** provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form. The book breaks down visualization design according to three questions: __what__ data users need to see, __why__ users need to carry out their tasks, and __how__ the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework. The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level. 1. What's Vis, And Why Do It? -- 2. What : Data Abstraction -- 3. Why : Task Abstraction -- 4. Analysis : Four Levels For Validation -- 5. Marks And Channels -- 6. Rules Of Thumb -- 7. Arrange Tables -- 8. Arrange Spatial Data -- 9. Arrange Networks And Trees -- 10. Map Color And Other Channels -- 11. Manipulate View -- 12. Facet Into Multiple Views -- 13. Reduce Items And Attributes -- 14. Embed : Focus+context -- 15. Analysis Case Studies. Tamara Munzner, Department Of Computer Science, University Of British Columbia ; Illustrations By Eamonn Maguire. Includes Bibliographical References And Index. Front Cover 1 Contents 6 Preface 16 1. What’s Vis, and Why Do It? 26 2. What: Data Abstraction 46 3. Why: Task Abstraction 68 4. Analysis: Four Levels for Validation 92 5. Marks and Channels 120 6. Rules of Thumb 142 7. Arrange Tables 170 8. Arrange Spatial Data 204 9. Arrange Networks and Trees 226 10. Map Color and Other Channels 244 11. Manipulate View 268 12. Facet into Multiple Views 290 13. Reduce Items and Attributes 324 14. Embed: Focus+Context 348 15. Analysis Case Studies 366 Figure Credits 394 Bibliography 400