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Visualizing Research guides postgraduate students in art and design through the development and implementation of a research project, using the metaphor of a 'journey of exploration'. For use with a formal programme of study, from masters to doctoral level, the book derives from the creative relationship between research, practice and teaching in art and design. It extends generic research processes into practice-based approaches more relevant to artists and designers, introducing wherever possible visual, interactive and collaborative methods. The Introduction and Chapter 1 'Planning the Journey' define the concept and value of 'practice-based' formal research, tracking the debate around its development and explaining key concepts and terminology. ’Mapping the Terrain’ then describes methods of contextualizing research in art and design (the contextual review, using reference material); ’Locating Your Position’ and ’Crossing the Terrain’ guide the reader through the stages of identifying an appropriate research question and methodological approach, writing the proposal and managing research information. Methods of evaluation and analysis are explored, and of strategies for reporting and communicating research findings are suggested. Appendices and a glossary are also included. Visualizing Research draws on the experience of researchers in different contexts and includes case studies of real projects. Although written primarily for postgraduate students, research supervisors, managers and academic staff in art and design and related areas, such as architecture and media studies, will find this a valuable research reference. An accompanying website www.visualizingresearch.info includes multimedia and other resources that complement the book.
This introductory text presents basic principles of social science research through maps, graphs, and diagrams. The authors show how concept maps and mind maps can be used in quantitative, qualitative, and mixed methods research, using student-friendly examples and classroom-based activities. Integrating theory and practice, chapters show how to use these tools to plan research projects, "see" analysis strategies, and assist in the development and writing of research reports.
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Visualizing Research guides postgraduate students in art and design through the development and implementation of a research project, using the metaphor of a 'journey of exploration'. For use with a formal programme of study, from masters to doctoral level, the book derives from the creative relationship between research, practice and teaching in art and design. It extends generic research processes into practice-based approaches more relevant to artists and designers, introducing wherever possible visual, interactive and collaborative methods. The Introduction and Chapter 1 'Planning the Journey' define the concept and value of 'practice-based' formal research, tracking the debate around its development and explaining key concepts and terminology. ’Mapping the Terrain’ then describes methods of contextualizing research in art and design (the contextual review, using reference material); ’Locating Your Position’ and ’Crossing the Terrain’ guide the reader through the stages of identifying an appropriate research question and methodological approach, writing the proposal and managing research information. Methods of evaluation and analysis are explored, and of strategies for reporting and communicating research findings are suggested. Appendices and a glossary are also included. Visualizing Research draws on the experience of researchers in different contexts and includes case studies of real projects. Although written primarily for postgraduate students, research supervisors, managers and academic staff in art and design and related areas, such as architecture and media studies, will find this a valuable research reference. An accompanying website www.visualizingresearch.info includes multimedia and other resources that complement the book.
Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary research effort spanning across fields including visualization, typography, and cartography, it builds a solid foundation for the design space of text in visualization. The book illustrates many new kinds of visualizations, including microtext lines, skim formatting, and typographic sets that solve some of the shortcomings of well-known visualization techniques. Key features: More than 240 illustrations to aid inspiration of new visualizations Eight new approaches to data visualization leveraging text Quick reference guide for visualization with text Builds a solid foundation extending current visualization theory Bridges between visualization, typography, text analytics, and natural language processing The author website, including teaching exercises and interactive demos and code, can be found here. Designers, developers, and academics can use this book as a reference and inspiration for new approaches to visualization in any application that uses text.
This book presents a methodology for visualizing large scientific domains. Authors Moya-Anegón and Vargas-Queseda create science maps, so-called "scientograms", based on the interactions between authors and their papers through citations and co-citations, using approaches such as domain analysis, social networks, cluster analysis and pathfinder networks. The resulting scientograms offer manifold possibilities.
The 5th Edition of Visualizing Environmental Science provides students with a valuable opportunity to identify and connect the central issues of environmental science through a visual approach. Beautifully illustrated, this fifth edition shows students what the discipline is all about—its main concepts and applications—while also instilling an appreciation and excitement about the richness of the subject. This edition is thoroughly refined and expanded; the visuals utilize insights from research on student learning and feedback from users.
This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The book, also demonstrating the benefits to the L2 field of this type of statistical work, is a resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics who are interested in quantitative data analysis.
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions