Information visualization

Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors.

This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact.

This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL.

This volume collects selected contributions from the "e;Fourth Tetrahedron Workshop on Grid Generation for Numerical Computations"e;, which was held in Verbania, Italy in July 2013.

This book offers a complete and streamlined treatment of the central principles of abelian harmonic analysis: Pontryagin duality, the Plancherel theorem and the Poisson summation formula, as well as their respective generalizations to non-abelian groups, including the Selberg trace formula.

This book results from a long-term research effort aimed at tackling complex non-standard packing issues which arise in space engineering.

This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI'13) and Mathematical Methods from Brain Connectivity (MMBC'13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.

This book presents works detailing the application of processing and visualization techniques for analyzing the Earth's subsurface.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity, while also sharing new perspectives and insights on the latest research challenges for those currently working in the field.

This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools.

Award-winning monograph of the Ferran Sunyer i Balaguer Prize 2003.

Logic, the discipline that explores valid reasoning, does not need to be limited to a specific form of representation but should include any form as long as it allows us to draw sound conclusions from given information.

This book brings together current advances in high-technology visualisation and the age-old but science-adapted practice of drawing for improved observation in medical education and surgical planning and practice.

This image-rich book explores the practice as well as the theory of visual representation and presents us with the importance of designing appropriate images for communication to specific target audiences.

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When you picture human-data interactions (HDI), what comes to mind?

This book focusses on techniques for automating the procedure of creating external labelings, also known as callout labelings.

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.

There is ample evidence in the visualization community that individual differences matter.

At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to discuss why the SciVis component of the conference had been shrinking significantly for over a decade.

Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data.

This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation.

Visualization has become a valuable means for data exploration and analysis.

Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making.

Displaying multiple levels of data visually has been proposed to address the challenge of limited screen space.

Visual analytics has come a long way since its inception in 2005.

Interest in visualization design has increased in recent years.

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.

Impending technological advances will widen an adversary's attack plane over the next decade.

This book presents works detailing the application of processing and visualization techniques for analyzing the Earth's subsurface.

Scientific visualization has always been an integral part of discovery, starting first with simplified drawings of the pre-Enlightenment and progressing to present day.

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nykoping, Sweden.

This book provides an overview of the emerging field of in situ visualization, i.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply.

The adoption of multilayer analysis techniques is rapidly expanding across all areas of knowledge, from social sciences (the first facing the complexity of such structures, decades ago) to computer science, from biology to engineering.

This textbook teaches readers how to turn geometry into an image on a computer screen.

This book collects original peer-reviewed contributions to the conferences organised by the international research network "e;Minimal surfaces: Integrable Systems and Visualization"e; financed by the Leverhulme Trust.

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis.

This book describes active illumination techniques in computer vision.

This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization.

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.

This is the first book that focuses entirely on the fundamental questions in visualization.

This beautifully crafted book collects images, which were created during the process of research in all fields of theoretical biology.

The inverse scattering problem is central to many areas of science and technology such as radar, sonar, medical imaging, geophysical exploration and nondestructive testing.

Create industry-compliant graphs with this practical guide for professionalsAnalysis of clinical trial results is easier when the data is presented in a visual form.

Create industry-compliant graphs with this practical guide for professionalsAnalysis of clinical trial results is easier when the data is presented in a visual form.

Elevate your storytelling with SAS Visual AnalyticsData visualization is the gateway to artificial intelligence (AI) and big data.