Visual Complexity: Mapping Patterns of Information (Paperback)Manuel Lima (author)
- Publisher out of stock
Publisher: Princeton Architectural Press
Number of pages: 272
Weight: 1060 g
Dimensions: 266 x 216 x 19 mm
"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
"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
"Intellectually ambitious... the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis
"Intellectually ambitious...the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis
"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
"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
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