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Semiology of Graphics: Diagrams, Networks, Maps ハードカバー – 2010/11/1
Originally published in French in 1967, Semiology of Graphics holds a significant place in the theory of information design. Founded on Jacques Bertin’s practical experience as a cartographer, Part One of this work is an unprecedented attempt to synthesize principles of graphic communication with the logic of standard rules applied to writing and topography. Part Two brings Bertin’s theory to life, presenting a close study of graphic techniques including shape, orientation, color, texture, volume, and size in an array of more than 1,000 maps and diagrams.
- 本の長さ456ページ
- 言語英語
- 出版社Esri Press
- 発売日2010/11/1
- 寸法22.66 x 3.1 x 27.18 cm
- ISBN-101589482611
- ISBN-13978-1589482616
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著者について
Jacques Bertin is a French cartographer and theorist. In 1954 he founded the Cartographic Laboratory of the École pratique des hautes études and in 1957 he was named director of education. In 1967, Bertin became a professor at the Sorbonne, and in 1974 he was appointed director of education and director of the Geographical Laboratory of the École des hautes études en sciences sociales which is part of the École pratique des hautes etudes. In the late 1970s he became head of research at the Centre national de la recherche scientifique. Bertin is an internationally recognized authority on the analytic study of graphics.
登録情報
- 出版社 : Esri Press; 第1版 (2010/11/1)
- 発売日 : 2010/11/1
- 言語 : 英語
- ハードカバー : 456ページ
- ISBN-10 : 1589482611
- ISBN-13 : 978-1589482616
- 寸法 : 22.66 x 3.1 x 27.18 cm
- Amazon 売れ筋ランキング: - 488,725位洋書 (洋書の売れ筋ランキングを見る)
- - 75位Cartography
- - 1,198位Graphic Design Techniques
- - 12,930位Engineering
- カスタマーレビュー:
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Like the earlier Enlightenment informers, Bertin makes strong connections between geographic maps and abstract statistical charts. I really like how he emphasizes the importance of producing informative singular images—temporal units of meaningful visual perception—while also negotiating how no one image can reveal everything.
Bertin’s uses the word energy to describe the total salience of how data appears to us. It set the stage for many future authors to riff on their own systems of what Bertin called retinal variables: design dimensions that each have the ability to change how the value of a data mark hits the sensors of the eye’s retina. They include position, size, darkness, hue, texture, shape, and orientation. Info We Trust references Bertin’s work several times, and quotes him directly once: “The entire problem is one of augmenting this natural intelligence.”


