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Visual Complexity
Visual Complexity
A world-class masterpiece that systematizes and integrates the visual complexity of science and art. Complexity Finding patterns or meaningful connectivity in a data network is one of the toughest tasks of the 21st century. Manuel Lima is a thinker, designer, instructor and curator of the most influential online gallery running VisualComplexity.com, the premier project in information visualization. In this book, we collected about 300 interesting information design examples depicting 85 titles, protein interactions of human cells, and Twitters follower network, Joey Divisions Love Will Tear Us Apart br
In addition, we examined the long tradition of networking of complex networks and summed up the whole history of network visualization through close scrutiny of the actual situation in which graphic works are created. Christopher Grant Kwon, Nathan Yau, Andrew Pandemur, and David McConville, who are renowned in the field of network science and information visualization, have embraced the last chapter of this book. This book will inspire practitioners to perform interesting visualization projects, and will help the public understand the importance and beauty of visual comprehension.
A world-class masterpiece that systematizes and integrates the visual complexity of science and art. Complexity Finding patterns or meaningful connectivity in a data network is one of the toughest tasks of the 21st century. Manuel Lima is a thinker, designer, instructor and curator of the most influential online gallery running VisualComplexity.com, the premier project in information visualization. In this book, we collected about 300 interesting information design examples depicting 85 titles, protein interactions of human cells, and Twitters follower network, Joey Divisions Love Will Tear Us Apart br
In addition, we examined the long tradition of networking of complex networks and summed up the whole history of network visualization through close scrutiny of the actual situation in which graphic works are created. Christopher Grant Kwon, Nathan Yau, Andrew Pandemur, and David McConville, who are renowned in the field of network science and information visualization, have embraced the last chapter of this book. This book will inspire practitioners to perform interesting visualization projects, and will help the public understand the importance and beauty of visual comprehension.
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Published March 22, 2016
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About the author
Manuel Lima
15 books64 followersA Fellow of the Royal Society of Arts and nominated by Creativity magazine as “one of the 50 most creative and influential minds of 2009,” Manuel Lima is the founder of VisualComplexity.com, Design Lead at Google, and a regular teacher of data visualization at Parsons School of Design.
Manuel is a leading voice on information visualization and has spoken at numerous conferences, universities, and festivals around the world, including TED, Lift, OFFF, Eyeo, Ars Electronica, IxDA Interaction, Harvard, Yale, MIT, the Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, the University of Amsterdam, and MediaLab-Prado Madrid. He has also been featured in various magazines and newspapers, such as Wired, the New York Times, Science, Nature, Businessweek, Creative Review, Fast Company, Forbes, Grafik, SEED, étapes, and El País.
His first book, Visual Complexity: Mapping Patterns of Information, has been translated into French, Chinese, and Japanese. His second, The Book of Trees: Visualizing Branches of Knowledge, covers eight hundred years of human culture through the lens of the tree figure, from its entrenched roots in religious medieval exegesis to its contemporary, secular digital themes.
With more than twelve years of experience designing digital products, Manuel has worked for Codecademy, Microsoft, Nokia, R/GA, and Kontrapunkt. He holds a BFA in Industrial Design and a MFA in Design & Technology from Parsons School of Design. During the course of his MFA program, Manuel worked for Siemens Corporate Research Center, the American Museum of Moving Image, and Parsons Institute for Information Mapping in research projects for the National Geospatial-Intelligence Agency.
Manuel is a leading voice on information visualization and has spoken at numerous conferences, universities, and festivals around the world, including TED, Lift, OFFF, Eyeo, Ars Electronica, IxDA Interaction, Harvard, Yale, MIT, the Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, the University of Amsterdam, and MediaLab-Prado Madrid. He has also been featured in various magazines and newspapers, such as Wired, the New York Times, Science, Nature, Businessweek, Creative Review, Fast Company, Forbes, Grafik, SEED, étapes, and El País.
His first book, Visual Complexity: Mapping Patterns of Information, has been translated into French, Chinese, and Japanese. His second, The Book of Trees: Visualizing Branches of Knowledge, covers eight hundred years of human culture through the lens of the tree figure, from its entrenched roots in religious medieval exegesis to its contemporary, secular digital themes.
With more than twelve years of experience designing digital products, Manuel has worked for Codecademy, Microsoft, Nokia, R/GA, and Kontrapunkt. He holds a BFA in Industrial Design and a MFA in Design & Technology from Parsons School of Design. During the course of his MFA program, Manuel worked for Siemens Corporate Research Center, the American Museum of Moving Image, and Parsons Institute for Information Mapping in research projects for the National Geospatial-Intelligence Agency.
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