Visual Discoveries

Visual Discoveries PDF

Author: Allen Keith Yee

Publisher: Oro Editions

Published: 2020-09-15

Total Pages: 250

ISBN-13: 9781943532964

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There are three standard methods to visually represent a building: the plan, elevation, and section. The section drawing is a vertical slice of a building, depicting the relationships between interior and exterior as well as any level changes. While the section can serve as merely a functional drawing for construction, it can also be an exciting, revelatory drawing that can artfully depict a building, landscape, or object. Visual Discoveries: A Collection of Sections is an image-forward book that is devoted to showcasing notable section drawings throughout history and demonstrating that the section drawing, while having roots in architecture, has spread to many other professions and disciplines. These professions include medicine, transportation, product design, geology, and landscape architecture. Architects and designers featured in the book include Paul Rudolph, OMA, Zaha Hadid Architects, Diller Scofidio + Renfro, Renzo Piano Building Workshop, Foster + Partners, Weiss/Manfredi, and Mecanoo. The book also features cross sections created by Leonardo da Vinci, Charles Darwin, and Robert Fulton.

Graphic Discovery

Graphic Discovery PDF

Author: Howard Wainer

Publisher: Princeton University Press

Published: 2007-10-21

Total Pages: 208

ISBN-13: 0691134057

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Good graphs make complex problems clear. From the weather forecast to the Dow Jones average, graphs are so ubiquitous today that it is hard to imagine a world without them. Yet they are a modern invention. This book is the first to comprehensively plot humankind's fascinating efforts to visualize data, from a key seventeenth-century precursor--England's plague-driven initiative to register vital statistics--right up to the latest advances. In a highly readable, richly illustrated story of invention and inventor that mixes science and politics, intrigue and scandal, revolution and shopping, Howard Wainer validates Thoreau's observation that circumstantial evidence can be quite convincing, as when you find a trout in the milk. The story really begins with the eighteenth-century origins of the art, logic, and methods of data display, which emerged, full-grown, in William Playfair's landmark 1786 trade atlas of England and Wales. The remarkable Scot singlehandedly popularized the atheoretical plotting of data to reveal suggestive patterns--an achievement that foretold the graphic explosion of the nineteenth century, with atlases published across the observational sciences as the language of science moved from words to pictures. Next come succinct chapters illustrating the uses and abuses of this marvelous invention more recently, from a murder trial in Connecticut to the Vietnam War's effect on college admissions. Finally Wainer examines the great twentieth-century polymath John Wilder Tukey's vision of future graphic displays and the resultant methods--methods poised to help us make sense of the torrent of data in our information-laden world.

Creative Imagery

Creative Imagery PDF

Author: Ronald A. Finke

Publisher: Psychology Press

Published: 2014-02-25

Total Pages: 199

ISBN-13: 1317783328

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Bringing together the results of experiments on discovery and invention in visualization conducted by the author over a three year period, this book reports new findings on the generation of creative inventions and concepts using mental imagery, and proposes a reconceptualization of the creative process. Creative Imagery introduces the concept of “preinventive forms” and describes an approach to creative invention differing from those typically used in problem-solving studies. There are two unique features of this book. First, it combines the experimental methods of cognitive science with the opportunity to explore and discover creative inventions in imagination. Second, it provides readers with numerous opportunities to use the creative imagery techniques to develop their own inventions and conceptual discoveries. This text is of particular interest to scientists working in the fields of experimental psychology, cognitive psychology, and cognitive science. The techniques for generating creative inventions will also be of interest to people working in engineering, architectural design, and the visual arts.

The Elements

The Elements PDF

Author: Philip Ball

Publisher: University of Chicago Press

Published: 2021-09-27

Total Pages: 225

ISBN-13: 022677595X

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The classical elements -- The antique metals -- Alchemical elements -- The new metals -- Chemistry golden age -- Electrical discoveries -- The radiant age -- The nuclear age.

Timelines of Science

Timelines of Science PDF

Author: DK

Publisher: Penguin

Published: 2023-06-13

Total Pages: 322

ISBN-13: 074408864X

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From the wheel to the worldwide web, our planet has been transformed by science. Now you can travel through time to experience centuries of invention and innovation on this spectacular visual voyage of discovery. Starting in ancient times and ending up in the modern world, you’ll explore scientific history showcased in stunning images and captivating text. An easy-to-follow illustrated timeline runs throughout the book, keeping you informed of big breakthroughs and key developments. Get to grips with revolutionary ideas like measuring time or check out amazing artifacts like flying machines. Great geniuses, including Marie Curie, Albert Einstein, and Charles Darwin are introduced alongside their most important ideas and inventions, all shown in glorious detail. Hundreds of pages of history are covered in Timelines of Science, with global coverage of scientific advances. Whether you're joining in with eureka moments, inspecting engines, or learning about evolution, all aspects of science are covered from the past, present, and future.

The Discovery of a Visual System

The Discovery of a Visual System PDF

Author: Adrian Horridge

Publisher: CABI

Published: 2019-05-23

Total Pages: 293

ISBN-13: 1789240891

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This book is the only account of what honeybees actually see. Bees detect some visual features such as edges and colours, but there is no sign that they reconstruct patterns or put together features to form objects. Bees detect motion but have no perception of what it is that moves, and certainly they do not recognize "things" by their shapes. Yet they clearly see well enough to fly and find food with a minute brain. Bee vision is therefore relevant to the construction of simple artificial visual systems, for example for mobile robots. The surprising conclusion is that bee vision is adapted to the recognition of places, not things. In this volume, Adrian Horridge also sets out the curious and contentious history of how bee vision came to be understood, with an account of a century of neglect of old experimental results, errors of interpretation, sharp disagreements, and failures of the scientific method. The design of the experiments and the methods of making inferences from observations are also critically examined, with the conclusion that scientists are often hesitant, imperfect and misleading, ignore the work of others, and fail to consider alternative explanations. The erratic path to understanding makes interesting reading for anyone with an interest in the workings of science but particularly those researching insect vision and invertebrate sensory systems.

The Visual Imperative

The Visual Imperative PDF

Author: Lindy Ryan

Publisher: Morgan Kaufmann

Published: 2016-03-14

Total Pages: 320

ISBN-13: 0128039302

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Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today’s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value – something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too. The world of data is changing fast. And, it’s becoming more visual. Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets. Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics Provides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticals Presents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with Visualization Explains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modeling Covers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation

Imagery, Creativity, and Discovery

Imagery, Creativity, and Discovery PDF

Author: B. Roskos-Ewoldsen

Publisher: Elsevier

Published: 1993-05-28

Total Pages: 344

ISBN-13: 9780080867526

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What factors affect creativity and the generation of creative images? What factors affect the ability to reinterpret those images? Research described in this book indicates that expectations constrain both of these attributes of creativity. Characteristics of the imagined pattern, such as cohesiveness or its psychological goodness, also affect image generation and reinterpretation. Other evidence indicates that images can be combined mentally to yield new, manipulable composites. Cognitive models encompass the research and extend it to fields as diverse as architecture, music, and problem solving.

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery PDF

Author: Boris Kovalerchuk

Publisher: Springer Nature

Published: 2022-06-04

Total Pages: 671

ISBN-13: 3030931196

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This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.