Manuel Lima

Manuel Lima is a designer, author, and lecturer known for his work in information visualization and design. He has written several books on the subject and is recognized for his contributions to the understanding and appreciation of data visualization.

This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.

  1. 1. The New Designer

    Rejecting Myths and Embracing Change

    In this insightful exploration of contemporary design, the author delves into the evolving role of designers in a rapidly changing world. The narrative highlights the shift from traditional design principles to a more holistic approach that embraces complexity, systems thinking, and interdisciplinary collaboration. Through a series of compelling examples and case studies, the book illustrates how designers are now tasked with addressing global challenges, fostering innovation, and creating sustainable solutions. It serves as both a call to action and a guide for designers to adapt and thrive in an era where their impact extends far beyond aesthetics.

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  2. 2. The Book Of Trees

    Visualizing Branches of Knowledge

    This visually captivating exploration delves into the rich history and evolution of tree diagrams, showcasing their significance as a tool for organizing and understanding complex information. From ancient religious manuscripts to modern data visualization, the book traces how these branching structures have been used across cultures and disciplines to map relationships, hierarchies, and networks. Through a stunning collection of illustrations and insightful commentary, it highlights the enduring power and versatility of trees as a metaphor for knowledge and interconnectedness.

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  3. 3. Visual Complexity

    Mapping Patterns of Information

    A richly illustrated survey of how complex information and interconnected systems can be represented visually, tracing historical roots, conceptual frameworks and practical techniques for mapping networks, relationships and patterns across disciplines; it combines theory, case studies and striking examples to show how topology, scale, visual metaphors and interaction shape understanding, offering principles for designers and researchers to reveal structure, dynamics and meaning within dense, data-rich systems.