Information visualization

Der Informatik wird in der öffentlichen Wahrnehmung seit bald drei Jahrzehnten eine Schlüsselrolle in der technologischen Entwicklung zugeordnet.

Mathematical Visualization is a young new discipline.

Im Buch und auf der CD-ROM werden 39 Unterrichts-/ Vorlesungsthemen dargestellt.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions.

Convex Polyhedra is one of the classics in geometry.

As an introduction to programming for the Digital Humanities (DH), this book presents six key assignments oriented on DH topics.

This book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases.

In order to carry out data analytics, we need powerful and flexible computing software.

This book provides an overview of the major changes induced by hydrocarbons (HCs) affecting rocks and surface sediments and their implications for non-seismic exploration methods, particularly for marine territories near Cuba.

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers.

Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this 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.

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science.

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 and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.

This reference text, now in its second edition, offers a modern unifying presentation of three basic areas of nonlinear analysis: convex analysis, monotone operator theory, and the fixed point theory of nonexpansive operators.

This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology.

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models.

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information.

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.

TheseProceedings of the 2015 MICCAI Workshop Computational Diffusion MRI offer asnapshot of the current state of the art on a broad range of topics within thehighly active and growing field of diffusion MRI.

The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields.

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio.

This is a new edited volume on shape analysis presenting results in shape modeling and computational geometry from the 2013 Association for Women in Mathematics (AWM) symposium held at UCLA's Institute for Pure and Applied Mathematics (IPAM).

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.