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Visual Complexity: Mapping Patterns of Information, by Manuel Lima
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Our ability to generate information now far exceeds our capacity to understand it. Finding patterns and making meaningful connections inside complex data networks has emerged as one of the biggest challenges of the twenty-first century. In recent years, designers, researchers, and scientists have begun employing an innovative mix of colors, symbols, graphics, algorithms, and interactivity to clarify, and often beautify, the clutter. From representing networks of friends on Facebook to depicting interactions among proteins in a human cell, Visual Complexity presents one hundred of the most interesting examples of information-visualization by the field's leading practitioners.
- Sales Rank: #494726 in Books
- Brand: Chronicle Books
- Published on: 2011-08-17
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 1.00" w x 9.00" l, 2.90 pounds
- Binding: Hardcover
- 272 pages
- Used Book in Good Condition
Review
"A rigorously researched, beautifully designed, thoughtfully curated anthology of the world's most compelling work at the intersection of two relatively nascent yet increasingly powerful techno-cultural phenomena, network science and information visualization.... A powerful tool in your visual literacy arsenal for navigating the Information Age. From the Bible to Wikipedia edits to the human genome, the gorgeous and thought-provoking visualizations in the book will make you look at the world in a whole new way, and the insightful essays accompanying them will vastly expand your understanding of the trends and technologies shaping our ever-evolving relationship with information." -- Brain Pickings
"Visual Complexity is a showcase for the intersection of art, design and science... Some of the examples are indeed silly. Some are profound. Many are decidedly beautiful. And all are fascinating, given the infinite kinds of data that can be visualized." --New York Times Book Review
"Manuel Lima, the New York-based founder of visualcomplexity.com, works at the forefront of network science and information visualization. Appropriately, his book Visual Complexity cuts through digital clutter, using colorful examples to illustrate these fields." --Surface magazine
"Intellectually ambitious... the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis
"Incredibly ambitious, deeply researched, and beautifully illustrated." --frieze
"From genealogical patterns in medieval tapestries to the math behind fractals, Lima, a senior UX design lead for Bing, shows how designers turn complex patterns into compelling artwork." --Wired
"Artistic analysis... tremendous potential for shaping how we understand our world... if you are the type who obsesses on Google Analytics or just feel the need to nerd out for a bit, pick up a copy." --Cool Hunting
About the Author
Manuel Lima is the founder of VisualComplexity.com and a Senior UX Design Lead at Microsoft. He is a Fellow of the Royal Society of Arts and was nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009".
Manuel Lima is a leading voice on information visualization and a frequent speaker in conferences and schools around the world, including TED, Lift, OFFF, Reboot, VizThink, IxDA Interaction, Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, University of Amsterdam, MediaLab Prado Madrid.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Architecture Students interested in Data Viz
By Tim C.
I am a student of GSAPP at Columbia University. I took a course taught by Professor Laura Kurgen and the studio she taught was Data Visualization. I bought this book to help me further my knowledge in data visualization, and the graphics are rich and amazing. As an architecture student, I am specifically looking to create beautiful and rich diagrams. This book is geared more towards designers such as graphic designers and architects and not for computer scientists or for those who are more interested in the mathematical computation and data analysis rather than the design of the visualizations.
0 of 0 people found the following review helpful.
This book versus Data Flow
By Mister Roboto
This book was a more thinner but more collegiate versus of the Data Flow book. I prefer the Data Flow book. That one had more examples. This one was a bit more nerdy, more Tufte without being inspirational. For infographics I recommend Tufte books and Data Flow over this one. But this book has a great overview.
But a big Lima fan, I look forward to all his works.
0 of 0 people found the following review helpful.
Five Stars
By Josh
Beautiful illustrations
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