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Visual Complexity: Mapping Patterns of…
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Visual Complexity: Mapping Patterns of Information (edition 2011)

by Manuel Lima (Author)

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289397,182 (3.88)3
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.… (more)
Member:joelmeador
Title:Visual Complexity: Mapping Patterns of Information
Authors:Manuel Lima (Author)
Info:Princeton Architectural Press (2011), 272 pages
Collections:Your library, Currently reading
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Visual Complexity: Mapping Patterns of Information by Manuel Lima

  1. 00
    The Book of Trees: Visualizing Branches of Knowledge by Manuel Lima (vpfluke)
    vpfluke: Both books are by the same author showing the intersection of design, art, knowledge, and information. Beauifully illustrated.
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Disappointed that there wasn't a critique of the usefulness of any of the networks. This is glossed over in much writing on visualization, whether or not these are useful and what makes one presentation more useful than another. The prose is over-the-top, over-written, it was a relief to read the essays by Yau, et al, in the last chapter. Chapter 5, "They Syntax of a New Language" was the best, perhaps because it was a straightforward cataloging. ( )
  encephalical | May 22, 2014 |
This is a collection of notable information visualizations, drawn from the online repository visualcomplexity.com curated by the author. The book is visually rich and well produced, and the examples are organized into themes and complemented with introductory texts and a couple of short commissioned essays. I find the structure to be workable and the historical introductions to tree and network structures are quite useful. The main drawback of the book, in my opinion, is that several of the examples are hard to understand and appropriate due to the sparse elaborations -- in some cases it feels that mere visual inspiration is the takeaway when more generative design knowledge could have been had if in-depth descriptions were available. Either way, an undeniable strength of the book is its archival function in a field were many design artifacts become technically outdated and disappear from online access within years.
  jonas.lowgren | Jan 15, 2014 |
Technical Library - shelved at: B17
  HB-Library-159 | Oct 19, 2016 |
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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.

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