The Handbook of Visual Analysis is a rich methodological resource for students, academics, researchers and professionals interested in investigating the visual representation of socially significant issues. The Handbook: Offers a wide-range of methods for visual analysis: content analysis, historical analysis, structuralist analysis, iconography, psychoanalysis, social semiotic analysis, film analysis and ethnomethodology Shows how each method can be applied for the purposes of specific research projects Exemplifies each approach through detailed analyses of a variety of data, including, newspaper images, family photos, drawings, art works and cartoons Includes examples from the authors' own research and professional practice The Handbook of Visual Analysis, which demonstrates the importance of visual data within the social sciences offers an essential guide to those working in a range of disciplines including: media and communication studies, sociology, anthropology, education, psychoanalysis, and health studies.

Visual communication shapes our perceptions and experiences of the world. This is not only a question of photographs or video, but also the design of websites, the use of data visualization software, the branding of packaging, and even the design of buildings and furniture. Doing Visual Analysis: From Theory to Practice provides a concrete set of tools to research and analyse this wide range of visual data. Showing students how to apply the right mix of methods to their own research projects, it equips them with the skills to break down and analyse the range of contemporary visual communication. The book: Provides examples of how and where certain tools can be used in a project or dissertation Discusses the type of research questions best suited to different tools and methods Shows students how to mix approaches and use tools alongside other methods, such as content analysis or interviews Doing Visual Analysis is an essential companion for students and researchers of visual data across the social sciences.

Extending the discussion of critical content analysis to the visual realm of picturebooks and graphic novels, this book provides a clear research methodology for understanding and analyzing visual imagery. Offering strategies for "reading" illustrations in global and multicultural literature, chapter authors explore and bring together critical theory and social semiotics while demonstrating how visual analysis can be used to uncover and analyze power, ideologies, inequity, and resistance in picturebooks and graphic novels. This volume covers a diverse range of texts and types of books and offers tools and procedures for interpreting visual images to enhance the understandings of researchers, teachers, and students as they engage with the visual culture that fills our world. These methods are significant not only to becoming a critical reader of literature but to also becoming a critical reader of visual images in everyday life.

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.

This radical first course on complex analysis brings a beautiful and powerful subject to life by consistently using geometry (not calculation) as the means of explanation. Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack of advanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicated with the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.

Unflattening is an experiment in visual thinking. Nick Sousanis defies conventional forms of scholarly discourse to offer readers both a stunning work of graphic art and a serious inquiry into the ways humans construct knowledge.

This brief, inexpensive paperback introduces students to the essential techniques and critical terms for analyzing and writing about visual culture. The Elements of Visual Analysis combines images, readings, and extensive definitions to develop students' abilities in analyzing two-dimensional and three-dimensional visual artifacts and experience. Designed primarily for courses in composition, rhetoric, and communications, the book will also fit any disciplines interested in engaging in serious analysis of visual phenomena.

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

In this book the authors describe their strategies for critically reading global and multicultural literature and the range of procedures they use for critical analyses. They also reflect on how these research strategies can inform classrooms and children as readers. Critical content analysis offers researchers a methodology for examining representations of power and position in global and multicultural children’s and adolescent literature. This methodology highlights the critical as locating power in social practices by understanding, uncovering, and transforming conditions of inequity. Importantly, it also provides insights into specific global and multicultural books significant within classrooms as well as strategies that teachers can use to engage students in critical literacy.

Best practices and step-by-step instructions for using the Tableau Software toolset Although the Tableau Desktop interface is relatively intuitive, this book goes beyond the simple mechanics of the interface to show best practices for creating effective visualizations for specific business intelligence objectives. It illustrates little-known features and techniques for getting the most from the Tableau toolset, supporting the needs of the business analysts who use the product as well as the data and IT managers who support it. This comprehensive guide covers the core feature set for data analytics, illustrating best practices for creating and sharing specific types of dynamic data visualizations. Featuring a helpful full-color layout, the book covers analyzing data with Tableau Desktop, sharing information with Tableau Server, understanding Tableau functions and calculations, and Use Cases for Tableau Software. Includes little-known, as well as more advanced features and techniques, using detailed, real-world case studies that the author has developed as part of his consulting and training practice Explains why and how Tableau differs from traditional business information analysis tools Shows you how to deploy dashboards and visualizations throughout the enterprise Provides a detailed reference resource that is aimed at users of all skill levels Depicts ways to leverage Tableau across the value chain in the enterprise through case studies that target common business requirements Endorsed by Tableau Software Tableau Your Data shows you how to build dynamic, best-of-breed visualizations using the Tableau Software toolset.