Originally published in French in 1967, "Semiology of Graphics" holds a significant place in the theory of information design. It presents a close study of graphic techniques including shape, orientation, color, texture, volume, and size in an array of more than 1,000 maps and diagrams.
Author: Alan M. MacEachren
Publisher: Guilford Press
Release Date: 2004-06-21
Genre: Technology & Engineering
Now available in paperback for the first time, this classic work presents a cognitive-semiotic framework for understanding how maps work as powerful, abstract, and synthetic spatial representations. Explored are the ways in which the many representational choices inherent in mapping interact with information processing and knowledge construction, and how the resulting insights can be used to make informed symbolization and design decisions. A new preface to the paperback edition situates the book within the context of contemporary technologies. As the nature of maps continues to evolve, Alan MacEachren emphasizes the ongoing need to think systematically about the ways people interact with and use spatial information.
Author: Stuart K. Card
Publisher: Morgan Kaufmann
Release Date: 1999-01
This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas. * Full-color reproduction throughout * Author power team - an exciting and timely collaboration between the field's pioneering, most-respected names * The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional * Text includes the classic source papers as well as a collection of cutting edge work
Author: Leland Wilkinson
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran
Author: Joel Katz
Publisher: John Wiley & Sons
Release Date: 2012-08-20
"The book itself is a diagram of clarification, containing hundreds of examples of work by those who favor the communication of information over style and academic postulation—and those who don't. Many blurbs such as this are written without a thorough reading of the book. Not so in this case. I read it and love it. I suggest you do the same." —Richard Saul Wurman "This handsome, clearly organized book is itself a prime example of the effective presentation of complex visual information." —eg magazine "It is a dream book, we were waiting for…on the field of information. On top of the incredible amount of presented knowledge this is also a beautifully designed piece, very easy to follow…" —Krzysztof Lenk, author of Mapping Websites: Digital Media Design "Making complicated information understandable is becoming the crucial task facing designers in the 21st century. With Designing Information, Joel Katz has created what will surely be an indispensable textbook on the subject." —Michael Bierut "Having had the pleasure of a sneak preview, I can only say that this is a magnificent achievement: a combination of intelligent text, fascinating insights and - oh yes - graphics. Congratulations to Joel." —Judith Harris, author of Pompeii Awakened: A Story of Rediscovery Designing Information shows designers in all fields - from user-interface design to architecture and engineering - how to design complex data and information for meaning, relevance, and clarity. Written by a worldwide authority on the visualization of complex information, this full-color, heavily illustrated guide provides real-life problems and examples as well as hypothetical and historical examples, demonstrating the conceptual and pragmatic aspects of human factors-driven information design. Both successful and failed design examples are included to help readers understand the principles under discussion.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Dona J. Hickey
Publisher: Stylus Publishing, LLC.
Release Date: 2000-01
Genre: Social Science
This book presents a range of teaching strategies developed by teachers of literature who have heard the call from students, employers, and academic administrators for more relevant learning experiences in an ever-changing world. Integrating critical theory and classroom experience, the contributors to this book demonstrate how they foster learning, collaboration and cooperation, and creative thinking. The book abounds with descriptions of successful non-traditional teaching strategies. We see teachers collaborating across disciplines and across colleges, in some cases across countries and grade levels, and demystifying literary studies for students brought up on visual media. Many of the contributors lead their campuses in the use of computer-mediated communication and multimedia to support instruction. The chapters exemplify the shift from understanding teaching as "making students see what the teacher sees," to inviting them to engage texts together, as a community, and to learn how, with their teacher, knowledge and authority are culturally and socially constructed. In Learning Literature in an Era of Change practicing teachers offer their peers in literature and composition, and faculty developers, an exciting range of new models where professors are partners in learning, and where education is not delivered but discovered and disseminated.
Author: Michael Zeiler
Publisher: ESRI, Inc.
Release Date: 1999
Geographic data models are digital frameworks that describe the location and characteristics of things in the world around us. With a geographic information system, we can use these models as lenses to see, interpret, and analyze the infinite complexity of our natural and man-made environments. With the geodatabase, a new geographic data model introduced with ArcInfo 8, you can extend significantly the level of detail and range of accuracy with which you can model geographic reality in a database environment.