可视化分析与设计
Visualization Analysis and Design
Tamara Munzner · 初版 2014 年
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“本书采用了一种统一的方法，涵盖了针对抽象数据的信息可视化技术、针对空间数据的科学可视化技术，以及将数据转换与分析同交互式视觉探索交织在一起的视觉分析技术。它强调对有效性的审慎验证，以及形式服从功能的理念。”——
Hacker News 上怎么说
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Visualization Analysis and Design
Tamara Munzner · 初版 2014 年
“本书采用了一种统一的方法，涵盖了针对抽象数据的信息可视化技术、针对空间数据的科学可视化技术，以及将数据转换与分析同交互式视觉探索交织在一起的视觉分析技术。它强调对有效性的审慎验证，以及形式服从功能的理念。”——
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这本书写得极其详细，把该领域里微小的细节都解释得明明白白。Tamara Munzner 的《Visualization Analysis and Design》https://www.cs.ubc.ca/~tmm/vadbook/ 你真该去翻翻。
This book is really details and explain minute things in this domain. Tamara Munzner. "Visualization Analysis and Design" https://www.cs.ubc.ca/~tmm/vadbook/ You should take a look into this.
会议的话推荐 IEEE InfoVis。书的话，可以看看 Tamara Munzner 的《Visualization Analysis and Design》。https://www.cs.ubc.ca/~tmm/vadbook/
For conferences, IEEE InfoVis. For a book, try Tamara Munzner’s Visualization Analysis and Design. https://www.cs.ubc.ca/~tmm/vadbook/
他们真该好好读读 Munzner 写的《Visualization Analysis & Design》。要是读过了，肯定不会选出那组配色 :-)。不过抛开糟糕的配色不谈，“modes”这个概念确实很有聊头。
They would really benefit by reading "Visualization Analysis & Design" by Munzer. If they had they would not have picked that set of colors :-). But poor color choices aside there is a lot to be said for 'modes'.
关于可视化和感知的学术文献已经积累了几十年了：IEEE VIS（尤其是 InfoVis）、IEEE TVCG（Transactions on Visualization and Computer Graphics）、ACM SIGCHI 等等。如果你有兴趣学习可视化，建议从 Tamara Munzner 的书《Visualization Analysis & Design》开始读起： https://www.cs.ubc.ca/~tmm/vadbook/
There are decades of academic literature on visualization and perception: IEEE VIS (and InfoVis specifically), IEEE TVCG (Transactions on Visualization and Computer Graphics), ACM SIGCHI, and lots more. If you’re interested in learning about visualization I recommend starting with Tamara Munzner’s book, Visualization Analysis & Design: https://www.cs.ubc.ca/~tmm/vadbook/
这挺有意思的，而且还颇有看头。在数据可视化的分类学方面已经有很出色的成果了。Tamara Munzner 的书《Visualization Analysis and Design》是个很好的切入点。在识别数据可视化的“维度”或属性方面也有过极好的研究。Lee Wilkinson 的《Grammar of Graphics》更是一座里程碑。你可以顺着往回检索……
This is interesting and a little bit entertaining. There has been excellent work on taxonomies for data visualization. Tamara Munzner's book "Visualization Analysis and Design" is a good starting point. There has been excellent work on identifying "dimensions" or properties of data visualization. Lee Wilkinson's "Grammar of Graphics" is a landmark. You could search backward…
Munzner 写的《Visualization Analysis and Design》也挺不错的。
Visualization Analysis and Design by Munzner is also good.