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.
Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.
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Prior to the 1960s, when African Americans had little access to formal political power, black popular culture was commonly seen as a means of forging community and effecting political change. But as Richard Iton shows, despite the changes politics, black artists have continued to play a significant role in the making of critical social spaces.
Plots of Enlightenment explores the emergence of the English novel during the early 1700s as a preeminent form of popular education at a time when educators were defining a new kind of "modern" English citizenship for both men and women. This new individual was imagined neither as the free, self-determined figure of early modern liberalism or republicanism, nor, at the other extreme, as the product of a nearly totalized disciplinary regimen. Instead, this new citizen materialized from the tensile process of what the sociologist Pierre Bourdieu calls "regulated improvisation," a strategy of performed individual identity that combines both social orchestration and individual agency. This book considers how the period's diverse forms of educational writing (including chapbooks, conduct books, and philosophical treatises) and the most innovative educational institutions of the age (such as charity schools, working schools, and proposed academies for young women) produced a shared concept of improvised identity also shaped by the early novel's pedagogical agenda. The model of improvised subjectivity contributed to new ways of imagining English individuality as both a private and public entity; it also empowered women authors, both educators and novelists, to transform traditional ideals of femininity in forming their own protofeminist versions of enlightened female identity. While offering a comprehensive account of the novel's educational status during the Enlightenment, Plots of Enlightenment focuses particularly on the first half of the eighteenth century, when novelists such as Daniel Defoe, Eliza Haywood, and Charlotte Lennox were first exploring concepts of fictional character based on educational and moral improvisation. A close examination of these authors' work illustrates further that by the 1750s, the improvisational impulse in England had forged the first perceptible outlines of the fictional subgenre later called the novel of education or the Bildungsroman. This book is the first study of its kind to account for the complex interplay between the individualist and collectivist protocols of early modern fiction, with an eye toward articulating a comprehensive description of socialization and literary form that can accommodate the similarities and differences in the works of both male and female writers.
The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.
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