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Research Data Visualization and Scientific Graphics

Author : MARTINS. ZAUMANIS
Publisher :
Page : 104 pages
File Size : 20,18 MB
Release : 2021-07-22
Category :
ISBN :

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Poor data charts and graphics are hindering the effective transfer of knowledge in academia. To get your research noticed and respected, this step-by-step guide will demonstrate essential techniques for creating informative scientific visualizations. By reading this book, you will learn: ✓ Eight bulletproof progressions for turning research data into convincing charts ✓ Eleven graphical features for converting scientific concepts into self-explanatory diagrams and scientific illustrations ✓ Straightforward visualization principles that help to interpret research results The straightforward approaches presented in this book are designed with efficiency in mind. By reviewing a variety of good and bad examples, you will learn how to include scientific visualization in your research communication routine. No artistic talent required. Clear data charts and informative graphics draw citations to papers, make presentations memorable, and encourage reviewers to approve research proposals. This book will show you how to make it happen. What's included: 1) Web resources, including a comparison of different software and online tools for data visualization and scientific illustrations 2) Two printable cheat sheets that summarize the advice from the book 3) A book full of actionable advice for efficiently creating convincing data charts and illuminating scientific graphics About the author My name is Martins Zaumanis and I am obsessed with finding ways to communicate science visually. For example, during the last half a year of my Ph.D., I spent almost every evening hand-drawing my research just so that I could present a memorable TEDx talk. But I don't expect you to become obsessed. Quite the opposite: I developed an approach that will allow you to create great data charts and scientific illustrations without taking away time from what you love most - research

A History of Data Visualization and Graphic Communication

Author : Michael Friendly
Publisher : Harvard University Press
Page : 337 pages
File Size : 15,86 MB
Release : 2021-06-08
Category : Science
ISBN : 0674259041

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A comprehensive history of data visualization—its origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. A History of Data Visualization and Graphic Communication tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous. As data visualization spread, it changed the way we think. Michael Friendly and Howard Wainer take us back to the beginnings of graphic communication in the mid-seventeenth century, when the Dutch cartographer Michael Florent van Langren created the first chart of statistical data, which showed estimates of the distance from Rome to Toledo. By 1786 William Playfair had invented the line graph and bar chart to explain trade imports and exports. In the nineteenth century, the “golden age” of data display, graphics found new uses in tracking disease outbreaks and understanding social issues. Friendly and Wainer make the case that the explosion in graphical communication both reinforced and was advanced by a cognitive revolution: visual thinking. Across disciplines, people realized that information could be conveyed more effectively by visual displays than by words or tables of numbers. Through stories and illustrations, A History of Data Visualization and Graphic Communication details the 400-year evolution of an intellectual framework that has become essential to both science and society at large.

Data Visualization

Author : Frits H. Post
Publisher : Springer Science & Business Media
Page : 445 pages
File Size : 20,99 MB
Release : 2012-12-06
Category : Computers
ISBN : 1461511771

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Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Animation and Scientific Visualization

Author : Rae A. Earnshaw
Publisher :
Page : 344 pages
File Size : 18,99 MB
Release : 1993
Category : Computers
ISBN :

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During the past decade the field of computer graphics has undergone a significant evolution as the development of new tools and techniques has made possible the production of an increasingly sophisticatedand multifaceted array of visualizations-from animation to virtual environments. Animation and Scientific Visualization: Tools and Applications provides a comprehensive overview of the tools and techniques involved in these applications, with an emphasis on practical examples and experiences, and 32 pages of full-color plates. This book enables readers to see how animation and scientific visualization are invaluable aids to scientists and researchers.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 43,95 MB
Release : 2016-12-12
Category : Computers
ISBN : 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Scientific Visualization

Author : Lawrence J. Rosenblum
Publisher : Academic Press
Page : 570 pages
File Size : 15,36 MB
Release : 1994
Category : Computers
ISBN :

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Numerical simulations of global warming, Mars observation data, and aircraft design are but a few of the topics where the use of human visual perception for data understanding are considered essential. Ten years agoa handful of pioneers professed the value of visualization to skeptical audiences. Today, with supercomputers and sensors producing ever-increasing amounts of data, scientific visualization is accepted throughout much of science and engineering as the fundamental tool for data analysis. Written by a world-wide panel of visualization experts, Scientific Visualization: Advances and Challenges presents astute coverage of prevailing trends, issues, and practice of scientific visualization. From algorithmic topics such as volume graphics and the modeling and visualization of large data sets, to foundations, perception, and interface technology (including virtual reality), this book provides the latest advances in the area. The book demonstrates new techniques, examines diverse application areas, and discusses current limitations and upcoming requirements. Scientific Visualization:Advances and Challenges $> presents readers with a unique opportunity to examine expert thinking and current practice, and to obtain a vision of potential future directions. It will be essential reading for scientific and engineering practitioners and visualization researchers alike. Offers extremely topical and timely coverage of a rapidly evolving area Includes contributions from an international panel of visualization experts in one accessible volume Provides scientific and engineering practitioners as well as visualization researchers with an essential guide to the literature

The Grammar of Graphics

Author : Leland Wilkinson
Publisher : Springer Science & Business Media
Page : 415 pages
File Size : 32,41 MB
Release : 2013-03-09
Category : Computers
ISBN : 1475731000

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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.

Data Visualization

Author : Robert Grant
Publisher : CRC Press
Page : 232 pages
File Size : 21,53 MB
Release : 2018-12-07
Category : Mathematics
ISBN : 135178174X

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This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).

Fundamentals of Data Visualization

Author : Claus O. Wilke
Publisher : O'Reilly Media
Page : 390 pages
File Size : 36,92 MB
Release : 2019-03-18
Category : Computers
ISBN : 1492031054

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Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

Graphics and Visualization

Author : T. Theoharis
Publisher : CRC Press
Page : 786 pages
File Size : 47,7 MB
Release : 2008-05-30
Category : Computers
ISBN : 1568812744

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This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers. What sets this book apart from other computer graphics texts is the integrated coverage of computer graphics and visualization topics, including important techniques such as subdivision and multi-resolution modeling, scene graphs, shadow generation, ambient occlusion, and scalar and vector data visualization. Students and practitioners will benefit from the comprehensive coverage of the principles that are the basic tools of their trade, from fundamental computer graphics and classic visualization techniques to advanced topics.