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Visualizing Oceans of Data: Educational Interface Design

Visualizing Oceans of Data: Educational Interface Design PDF Author: Ruth Krumhansl
Publisher:
ISBN: 9781494950262
Category : Human-computer interaction
Languages : en
Pages : 106

Book Description
Large, high-quality scientific data sets that are newly available online allow today's science students to incorporate working with authentic data into their learning experiences, giving them virtually unlimited opportunities to participate in real scientific work. Yet the educational promise of these large scientific cyberinfrastructures will not be met without concerted effort. This report is designed to support interface and tool designers in their efforts to bridge cyberinfrastructure to the classroom. The authors present guidelines for interface and data visualization tool development and discuss key considerations (principles, research, and theory) that inform these guidelines. The report was produced by the National Science Foundation-funded Oceans of Data project led by EDC and Scripps Institution of Oceanography.

Visualizing Oceans of Data: Educational Interface Design

Visualizing Oceans of Data: Educational Interface Design PDF Author: Ruth Krumhansl
Publisher:
ISBN: 9781494950262
Category : Human-computer interaction
Languages : en
Pages : 106

Book Description
Large, high-quality scientific data sets that are newly available online allow today's science students to incorporate working with authentic data into their learning experiences, giving them virtually unlimited opportunities to participate in real scientific work. Yet the educational promise of these large scientific cyberinfrastructures will not be met without concerted effort. This report is designed to support interface and tool designers in their efforts to bridge cyberinfrastructure to the classroom. The authors present guidelines for interface and data visualization tool development and discuss key considerations (principles, research, and theory) that inform these guidelines. The report was produced by the National Science Foundation-funded Oceans of Data project led by EDC and Scripps Institution of Oceanography.

Visualizing Oceans of Data

Visualizing Oceans of Data PDF Author: Amy Busey
Publisher: Createspace Independent Publishing Platform
ISBN: 9781519396440
Category :
Languages : en
Pages : 46

Book Description
In 2013, the Oceans of Data Institute (ODI) released Visualizing Oceans of Data: Educational Interface Design report, which offers a set of guidelines for designing interactive tools to engage students with data. ODI applied these guidelines during the development of Ocean Tracks, an online interface that enables students to explore the migratory behavior of large, open ocean predators using authentic datasets. Visualizing Oceans of Data: Ocean Tracks - A Case Study discusses the design and development of the Ocean Tracks interface, and reflects on the design guidelines in light of students' and teachers' experiences.

Creating Data Literate Students

Creating Data Literate Students PDF Author: Kristin Fontichiaro
Publisher: Maize Books
ISBN: 9781607854241
Category : Education
Languages : en
Pages : 0

Book Description
Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.

Dear Data

Dear Data PDF Author: Giorgia Lupi
Publisher: Chronicle Books
ISBN: 1616895462
Category : Design
Languages : en
Pages : 304

Book Description
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Better Data Visualizations

Better Data Visualizations PDF Author: Jonathan Schwabish
Publisher: Columbia University Press
ISBN: 0231550154
Category : Computers
Languages : en
Pages : 464

Book Description
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.

Visualization and Assessment of Global Ocean Data Assimilation Experiment Profile Data for the Pacific Ocean

Visualization and Assessment of Global Ocean Data Assimilation Experiment Profile Data for the Pacific Ocean PDF Author: Timothy A. Anderson
Publisher:
ISBN: 9781423550587
Category :
Languages : en
Pages : 74

Book Description
The Global Ocean Data Assimilation Experiment (GODAE) is an endeavor that will likely change the path of oceanography for many years. This attempt to assimilate, organize and provide massive quantities of widely varied oceanographic and meteorological data to the world could be a catalyst for new and innovative research opportunities. One of the data sources important to GODAE and of great possible value, the Array for Real-time Geostrophic Oceanography (ARGO), is another innovation that may lead to significant improvements in oceanographic modeling and research. The concept of thousands of autonomous floats, reporting ocean conditions to a database that can assimilate and provide this data in real or near-real time, affords countless opportunities for new methods of ocean prediction. The true test of GODAE is to assess the utility of the data available in a real world setting, and ascertain the relative usefulness as it relates to research opportunities and operational data needs. This thesis will assess the utility of the USGODAE data server by retrieving, processing, visualizing and employing the data to observe conditions in and near the Kuroshio Current. By attempting to use the data server in a method similar to future research and operational use, an understanding of its true potential may be reached.

Ocean Science Data

Ocean Science Data PDF Author: Giuseppe Manzella
Publisher: Elsevier
ISBN: 0128225955
Category : Science
Languages : en
Pages : 398

Book Description
Ocean Science Data: Collection, Management, Networking, and Services presents the evolution of ocean science, information, theories, and data services for oceanographers looking for a better understanding of big data. The book is divided into chapters organized under the following main issues: marine science, history and data archaeology, data services in ocean science, society-driven data, and coproduction and education. Throughout the book, particular emphasis is put on data products quality and big data management strategy; embracing tools enabling data discovery, data preparation, self-service data accessibility, collaborative semantic metadata management, data standardization, and stream processing engines. Ocean Science Data provides an opportunity to start a new roadmap for data management issues, to be used for future collaboration among disciplines. This will include a focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of data management organization. This book is written for ocean scientists at postgraduate level and above as well as marine scientists and climate change scientists. Presents a coherent overview of state-of-the-art research concerning ocean data Provides an in-depth discussion of how ocean data impact all scales of the planetary system Includes global case studies from experts in ocean data

Data Visualization Made Simple

Data Visualization Made Simple PDF Author: Kristen Sosulski
Publisher: Routledge
ISBN: 135138077X
Category : Business & Economics
Languages : en
Pages : 272

Book Description
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.

A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R PDF Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231537042
Category : Education
Languages : en
Pages : 245

Book Description
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.

Big Data in Small Slices: Data Visualization for Communicators

Big Data in Small Slices: Data Visualization for Communicators PDF Author: Dianne M. Finch-Claydon
Publisher: Taylor & Francis
ISBN: 1317435354
Category : Language Arts & Disciplines
Languages : en
Pages : 191

Book Description
This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their data, delving into how datasets are produced and vetted, and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualization and storytelling, from journalism and communications students to public relations professionals. A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com