Download or read book Interactive Systems for Scalable Visualization and Analysis written by Dominik Moritz and published by . This book was released on 2019 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: While computers can help us manage data, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines. In response to these challenges, this thesis contributes new languages and models for visualization design that power interactive systems for scalable data analysis. In these languages, users can be imprecise about low-level design decisions as the system leverages this ambiguity to optimize the visual design and necessary computation. Vega-Lite is a high-level declarative language for rapidly creating interactive visualizations, while also providing a convenient yet powerful representation for tools that generate visualizations. Vega-Lite uses smart defaults to fill in low-level details to create effective designs. The declarative design facilitates optimization of the required data processing. Draco is a model of visualization design that extends Vega-Lite with shareable design guidelines, formal reasoning over the design space, and visualization recommendation. We show how we can use Draco to construct increasingly sophisticated automated visualization design and recommendation systems, including systems based on weights learned directly from the results of graphical perception experiments. We take a user-centric perspective on systems for scalable exploratory analysis. Considering both the backend and frontend concerns, we present Falcon, an interactive crossfilter application where users can interact with billions of records without latencies that negatively affect their exploration. To scale beyond billions of records, we present Pangloss, a visual analysis system that uses approximate query processing but provides eventual guarantees using Optimistic Visualization. In this concept, we treat approximate query processing as a user experience problem to address users' primary concern: trust in their exploration results. Falcon and Pangloss contribute techniques for scalable interaction and exploration of large data volumes by making principled trade-offs among people's latency tolerance, precomputation, and the level of approximation.
Download or read book Image Based Visualization written by Christophe Hurter and published by Morgan & Claypool Publishers. This book was released on 2015-12-01 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our society has entered a data-driven era, one in which not only are enormous amounts of data being generated daily but there are also growing expectations placed on the analysis of this data. Some data have become simply too large to be displayed and some have too short a lifespan to be handled properly with classical visualization or analysis methods. In order to address these issues, this book explores the potential solutions where we not only visualize data, but also allow users to be able to interact with it. Therefore, this book will focus on two main topics: large dataset visualization and interaction. Graphic cards and their image processing power can leverage large data visualization but they can also be of great interest to support interaction. Therefore, this book will show how to take advantage of graphic card computation power with techniques called GPGPUs (general-purpose computing on graphics processing units). As specific examples, this book details GPGPU usages to produce fast enough visualization to be interactive with improved brushing techniques, fast animations between different data representations, and view simplifications (i.e. static and dynamic bundling techniques). Since data storage and memory limitation is less and less of an issue, we will also present techniques to reduce computation time by using memory as a new tool to solve computationally challenging problems. We will investigate innovative data processing techniques: while classical algorithms are expressed in data space (e.g. computation on geographic locations), we will express them in graphic space (e.g., raster map like a screen composed of pixels). This consists of two steps: (1) a data representation is built using straightforward visualization techniques; and (2) the resulting image undergoes purely graphical transformations using image processing techniques. This type of technique is called image-based visualization. The goal of this book is to explore new computing techniques using image-based techniques to provide efficient visualizations and user interfaces for the exploration of large datasets. This book concentrates on the areas of information visualization, visual analytics, computer graphics, and human-computer interaction. This book opens up a whole field of study, including the scientific validation of these techniques, their limitations, and their generalizations to different types of datasets.
Download or read book Scalable Interactive Visualization written by Achim Ebert and published by MDPI. This book was released on 2018-05-08 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Scalable Interactive Visualization" that was published in Informatics
Download or read book Interactive Data Visualization written by MATTHEW O.. GRINSTEIN WARD (GEORGES. KEIM, DANIEL.) and published by A K PETERS. This book was released on 2021-03-31 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations. New to the Second Edition New related readings, exercises, and programming projects Better quality figures and numerous new figures New chapter on techniques for time-oriented data This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis. For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques. Web Resource A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.
Download or read book Trends in Interactive Visualization written by Elena Zudilova-Seinstra and published by Springer Science & Business Media. This book was released on 2008-12-17 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
Download or read book Interactive Visualization written by Bill Ferster and published by MIT Press. This book was released on 2012-10-19 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to fundamental issues in designing interactive visualizations, exploring ideas of inquiry, design, structured data, and usability. Interactive visualization is emerging as a vibrant new form of communication, providing compelling presentations that allow viewers to interact directly with information in order to construct their own understandings of it. Building on a long tradition of print-based information visualization, interactive visualization utilizes the technological capabilities of computers, the Internet, and computer graphics to marshal multifaceted information in the service of making a point visually. This book offers an introduction to the field, presenting a framework for exploring historical, theoretical, and practical issues. It is not a “how-to” book tied to specific and soon-to-be-outdated software tools, but a guide to the concepts that are central to building interactive visualization projects whatever their ultimate form. The framework the book presents (known as the ASSERT model, developed by the author), allows the reader to explore the process of interactive visualization in terms of choosing good questions to ask; finding appropriate data for answering them; structuring that information; exploring and analyzing the data; representing the data visually; and telling a story using the data. Interactive visualization draws on many disciplines to inform the final representation, and the book reflects this, covering basic principles of inquiry, data structuring, information design, statistics, cognitive theory, usability, working with spreadsheets, the Internet, and storytelling.
Download or read book Visual Analytics in Scalable Visualization Environments written by So Yamaoka and published by . This book was released on 2011 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual analytics is an interdisciplinary field that facilitates the analysis of the large volume of data through interactive visual interface. This dissertation focuses on the development of visual analytics techniques in scalable visualization environments. These scalable visualization environments offer a high-resolution, integrated virtual space, as well as a wide-open physical space that affords collaborative user interaction. At the same time, the sheer scale of these environments poses a number of challenges, including data management, visualization techniques, and interaction paradigms that support large-scale, interactive visual exploratory analysis. This dissertation addresses these challenges with the special attention on the large volume of very high-resolution image data sets. The presented core visualization approach can immediately address tens of terapixel worth of information by employing view-dependent, adaptive, out-of-core visualization techniques. Building on this approach, two domain-specific challenges are addressed. One is interactive image fusion, facilitating the visualization and analysis of high-resolution satellite imagery. The other is interactive visual exploratory analysis of the large volume of cultural data sets, in order to support the development and refinement of new insights and hypotheses into the data sets. Finally, a method towards creating a co-located, collaborative user interaction paradigm in scalable visualization environments is presented. This method provides a multiuser, user-centric graphical user interface (GUI) for these environments, controlled by multitouch mobile devices.
Download or read book PIX written by Jianping (Kelvin) Li and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization helps people to understand data and information. Although computers can efficiently process data, human perception is the key to insight and knowledge discoveries. To meet the challenges of increasingly large and complex data, we need methods that effectively integrates high-performance computing techniques and advanced data analytics into interactive visualization systems for allowing comprehension and communication of massive information. This dissertation contributes new methods and frameworks forempowering visualization systems to facilitate interactive and scalable data analysis. PIX is a stack of toolkits based on these methods and frameworks for building high-performance visualization systems. At the foundation is Portable Processing Pipelines (P3), a new declarative visualization language for rapidly specifying data transformations, visual encodings, and interactions to design visualization applications. Picos builds on P3 to provide a concise declarative grammar and a flexible visual interface for designing hierarchical visualizations for exploratory analysis of complex datasets. To provide high performance for interactive visual analysis, PIX exploits multicore CPUs and manycore GPUs to accelerate data processing and visualization rendering. I developed PeerPower, a parallel and distributed computing framework that effectively utilizes multicore CPUs on heterogeneous systems for accelerating data aggregation and visualization. To harness computing power from GPUs for interactive visualizations, I developed P4 by parallelizing P3 via GPU computing for building high-performance visualization systems using declarative grammars. At runtime, P4 automatically creates GPU programs based on declarative specifications to accelerate both data transformations and visualizations. For interactive analysis of large datasets using limited computing resources, a progressive workflow can be used to provide incrementally refining results and allow steering the analysis process by interacting with the intermediate results. By extending P4, I introduced P5 for providing the capability of parallel and progressive visualization. The extended declarative grammars in P5 allow rapid design of scalable systems for progressive and interactive data analysis. In addition to performance and scalability, visualization systems need to incorporate advanced methods for analyzing complex and high-dimensional datasets. To extend PIX with advanced data analytics, I developed P6, a declarative programming toolkit for specifying and integrating machine learning techniques with interactive visualizations. P6 allows interactive systems to richly and effectively combine the capabilities of humans and computers for data analysis and problem-solving. With PIX, different computing technologies, including parallel computing, progressive analytics, and machine learning, can be easily incorporated into interactive visualization systems. By providing toolkits that are both high performance and easy to use, PIX enables more people to build interactive visualization solutions for analyzing big data.
Download or read book Design of Visualizations for Human Information Interaction written by Kamran Sedig and published by Morgan & Claypool Publishers. This book was released on 2016-04-18 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in visualization design has increased in recent years. While there is a large body of existing work from which visualization designers can draw, much of the past research has focused on developing new tools and techniques that are aimed at specific contexts. Less focus has been placed on developing holistic frameworks, models, and theories that can guide visualization design at a general level—a level that transcends domains, data types, users, and other contextual factors. In addition, little emphasis has been placed on the thinking processes of designers, including the concepts that designers use, while they are engaged in a visualization design activity. In this book we present a general, holistic framework that is intended to support visualization design for human-information interaction. The framework is composed of a number of conceptual elements that can aid in design thinking. The core of the framework is a pattern language—consisting of a set of 14 basic, abstract patterns—and a simple syntax for describing how the patterns are blended. We also present a design process, made up of four main stages, for creating static or interactive visualizations. The 4-stage design process places the patterns at the core of designers’ thinking, and employs a number of conceptual tools that help designers think systematically about creating visualizations based on the information they intend to represent. Although the framework can be used to design static visualizations for simple tasks, its real utility can be found when designing visualizations with interactive possibilities in mind—in other words, designing to support a human-information interactive discourse. This is especially true in contexts where interactive visualizations need to support complex tasks and activities involving large and complex information spaces. The framework is intended to be general and can thus be used to design visualizations for diverse domains, users, information spaces, and tasks in different fields such as business intelligence, health and medical informatics, digital libraries, journalism, education, scientific discovery, and others. Drawing from research in multiple disciplines, we introduce novel concepts and terms that can positively contribute to visualization design practice and education, and will hopefully stimulate further research in this area.
Download or read book Interactive Systems for Data Transformation and Assessment written by Sean Kandel and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of advances in technologies for processing and visualizing data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usable form. This process often constitutes the most tedious and time-consuming aspect of analysis. This dissertation contributes novel techniques for coupling automated routines with interactive interfaces to enable more rapid data transformation and quality assessment. In this dissertation, we first present an interview study with enterprise data analysts. We characterize the process of industrial data analysis, document how organizational features of an enterprise impact analysis, describe recurring pain points, and discuss design implications for visual analysis tools. Next we introduce Wrangler, an interactive system for creating data transformation scripts. Wrangler combines direct manipulation of visualized data with automatic inference of relevant transforms, enabling analysts to iteratively explore the space of applicable operations and preview their effects. We present user study results showing that Wrangler significantly reduces specification time and promotes the use of robust, auditable transforms instead of manual editing. Underlying the Wrangler interface is a declarative data transformation language that supports code-generation of executable code in a variety of runtime platforms. For large data sets, an analyst can build and test a script on a sample of data before applying the script to the entire data set. Often times, errors or other anomalies will appear in the data set that did not appear in the sample. We introduce and evaluate two methods to aid more rapid debugging of large-scale transformation scripts. Surprise-based anomaly detection applies a model to classify output records as exceptions. Rule-based transform disambiguation generates example records to help analysts refine transformation scripts iv before applying them. After transforming a data set, an analyst often inspects the result for other data quality issues. We present Profiler, a visual analytic tool for assessing data quality issues. We present Profiler's architecture, including modular components for custom data types, anomaly detection routines and summary visualizations. The system contributes novel methods for integrated statistical and visual analysis, automatic view suggestion, and scalable visual summaries that support real-time interaction entirely in the browser with millions of data points. Taken together, this dissertation contributes novel methods for integrating automated routines with interaction and visualization techniques to improve the efficiency and scale at which data analysts can work.
Download or read book Interaction Methods for Large Scale Graph Visualization Systems Using Manipulation to Aid Discovery written by Brynjar Gretarsson and published by . This book was released on 2012 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of structured data available in our digital age is constantly growing and this calls for ways to analyze this data. One way for such analysis is through visualization, and structured data can typically be visualized as node-link graphs. Many tools are available for visualization of such node-link graphs. These tools often suffer from scalability issues, but more importantly they don't offer meaningful interaction mechanisms for the user to explore the data. This dissertation work attempts to address both of these issues, by providing and evaluating scalable and useful interaction methods for graph visualization systems. Our work mainly focuses on what we call manipulation methods, which are a set of interaction methods that enable the user to interactively manipulate the layout of a node-link graph. We provide a survey of existing interaction methods and introduce our own methods. Methods range from more specialized techniques, such as for an interactive visual recommender system, to more general procedures, which can be applied to any node-link data. We demonstrate the benefits of these interaction methods over pre-existing methods, and we also show the benefits of manipulation methods in general over visualizations that don't allow layout manipulation.
Download or read book Interactive Visualization of Big Data Leveraging Databases for Scalable Computation written by Leilani Marie Battle and published by . This book was released on 2013 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern database management systems (DBMS) have been designed to efficiently store, manage and perform computations on massive amounts of data. In contrast, many existing visualization systems do not scale seamlessly from small data sets to enormous ones. We have designed a three-tiered visualization system called ScalaR to deal with this issue. ScalaR dynamically performs resolution reduction when the expected result of a DBMS query is too large to be effectively rendered on existing screen real estate. Instead of running the original query, ScalaR inserts aggregation, sampling or filtering operations to reduce the size of the result. This thesis presents the design and implementation of ScalaR, and shows results for two example applications, visualizing earthquake records and satellite imagery data, stored in SciDB as the back-end DBMS.
Download or read book Interactive Visual Data Analysis written by Christian Tominski and published by AK Peters Visualization Series. This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 For more information, you can also visit the author website, where the book's figures will be made available under the CC BY Open Access license: https: //ivda-book.de/
Download or read book Course Notes Commodity based scalable visualization written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Analysis of Multilayer Networks written by Fintan McGee and published by Morgan & Claypool Publishers. This book was released on 2021-06-10 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an overview and structured analysis of contemporary multilayer network visualization. It surveys techniques as well as tools, tasks, and analytics from within application domains. It also identifies research opportunities and examines outstanding challenges along with potential solutions and future research directions for addressing them. Visual Analysis of Multilayer Networks is not only for visualization researchers, but for those who need to visualize multilayer networks in the domain of complex systems, as well as anyone solving problems within application domains. The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization.
Download or read book Fast Scalable Visualization Techniques for Interactive Billion particle Walkthrough written by Xinlian Liu and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
