| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045919621 | |
| 005 | 20171102170313 | |
| 008 | 171102s2015 flu b 001 0 eng d | |
| 010 | ▼a 2014020715 | |
| 020 | ▼a 9781466508910 (Pack - Book and Ebook : acid-free paper) | |
| 035 | ▼a (KERIS)REF000017444357 | |
| 040 | ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA76.9.I52 ▼b M86 2015 |
| 082 | 0 0 | ▼a 001.4/226 ▼2 23 |
| 084 | ▼a 001.4226 ▼2 DDCK | |
| 090 | ▼a 001.4226 ▼b M971v | |
| 100 | 1 | ▼a Munzner, Tamara. |
| 245 | 1 0 | ▼a Visualization analysis & design / ▼c Tamara Munzner, Department of Computer Science, University of British Columbia. |
| 246 | 3 | ▼a Visualization analysis and design |
| 260 | ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business, ▼c c2015. | |
| 300 | ▼a xxiii, 404 p. ; ▼c 25 cm. | |
| 490 | 1 | ▼a A.K. Peters visualization series |
| 500 | ▼a "An A K Peters Book." | |
| 504 | ▼a Includes bibliographical references (p. 373-395) and indexes. | |
| 650 | 0 | ▼a Information visualization. |
| 830 | 0 | ▼a A.K. Peters visualization series. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 001.4226 M971v | 등록번호 121242236 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
This book provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. It 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. Suitable for both beginners and more experienced designers, the book does not assume any experience with programming, mathematics, human?computer interaction, or graphic design.
정보제공 :
목차
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.