Introduction to Scientific Visualization


Book Description

This is a ‘how to’ book for scientific visualization. The book does not treat the subject as a subset of information visualisation, but rather as a subject in its own right. An introduction on the philosophy of the subject sets the scene and the theory of colour perception is introduced. Next, using Brodlie’s taxonomy to underpin its core chapters, it is shown how to classify data. Worked examples are given throughout the text and there are practical ‘sidebars’ for readers with access to the IRIS Explorer software who can try out the demonstrations on an accompanying website. The book concludes with a ‘taster’ of ongoing research.




A Concise Introduction to Scientific Visualization


Book Description

Scientific visualization has always been an integral part of discovery, starting first with simplified drawings of the pre-Enlightenment and progressing to present day. Mathematical formalism often supersedes visual methods, but their use is at the core of the mental process. As historical examples, a spatial description of flow led to electromagnetic theory, and without visualization of crystals, structural chemistry would not exist. With the advent of computer graphics technology, visualization has become a driving force in modern computing. A Concise Introduction to Scientific Visualization – Past, Present, and Future serves as a primer to visualization without assuming prior knowledge. It discusses both the history of visualization in scientific endeavour, and how scientific visualization is currently shaping the progress of science as a multi-disciplinary domain.




Introduction to Scientific Visualization


Book Description

This is a ‘how to’ book for scientific visualization. The book does not treat the subject as a subset of information visualisation, but rather as a subject in its own right. An introduction on the philosophy of the subject sets the scene and the theory of colour perception is introduced. Next, using Brodlie’s taxonomy to underpin its core chapters, it is shown how to classify data. Worked examples are given throughout the text and there are practical ‘sidebars’ for readers with access to the IRIS Explorer software who can try out the demonstrations on an accompanying website. The book concludes with a ‘taster’ of ongoing research.




3D Scientific Visualization with Blender


Book Description

This is the first book written on using Blender (an open-source visualization suite widely used in the entertainment and gaming industries) for scientific visualization. It is a practical and interesting introduction to Blender for understanding key parts of 3D rendering that pertain to the sciences via step-by-step guided tutorials. Any time you see an awesome science animation in the news, you will now know how to develop exciting visualizations and animations with your own data. 3D Scientific Visualization with Blender takes you through an understanding of 3D graphics and modeling for different visualization scenarios in the physical sciences. This includes guides and tutorials for: understanding and manipulating the interface; generating 3D models; understanding lighting, animation, and camera control; and scripting data import with the Python API. The agility of Blender and its well organized Python API make it an exciting and unique visualization suite every modern scientific/engineering workbench should include. Blender provides multiple scientific visualizations including: solid models/surfaces/rigid body simulations; data cubes/transparent/translucent rendering; 3D catalogs; N-body simulations; soft body simulations; surface/terrain maps; and phenomenological models. The possibilities for generating visualizations are considerable via this ever growing software package replete with a vast community of users providing support and ideas.




Scientific Visualization


Book Description

Background A group of UKexperts on Scientific Visualization and its associated applications gathered at The Cosener's House in Abingdon, Oxford shire (UK) in February 1991 to consider all aspects of scientific visualization and to produce a number of documents: • a detailed summary of current knowledge, techniques and appli cations in the field (this book); • an Introductory Guide to Visualization that could be widely dis tributed to the UK academic community as an encouragement to use visualization techniques and tools in their work; • a Management Report (to the UK Advisory Group On Computer Graphics - AGOCG) documenting the principal results of the workshop and making recommendations as appropriate. This book proposes a framework through which scientific visualiza tion systems may be understood and their capabilities described. It then provides overviews of the techniques, data facilities and human-computer interface that are required in a scientific visualiza tion system. The ways in which scientific visualization has been applied to a wide range of applications is reviewed and the available products that are scientific visualization systems or contribute to sci entific visualization systems are described. The book is completed by a comprehensive bibliography of literature relevant to scientific visualization and a glossary of terms. VI Scientific Visualization Acknowledgements This book was predominantly written during the workshop in Abingdon. The participants started from an "input document" pro duced by Ken Brodlie, Lesley Ann Carpenter, Rae Earnshaw, Julian Gallop (with Janet Haswell), Chris Osland and Peter Quarendon.




Visualization in Scientific Computing


Book Description

The purpose of this text is to provide a reference source to scientists, engineers, and students who are new to scientific visualization or who are interested in expanding their knowledge in this subject. If used properly, it can also serve as an introduction and tutorial.




Mathematical Principles for Scientific Computing and Visualization


Book Description

This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coo




Scientific Visualization


Book Description

"Scientific Visualization" presents the state of the art in scientific visualization techniques, both as an overview for the inquiring scientist and as a basic foundation for developers. The three sections present an overview, explain frameworks and methodologies, and present techniques and algorithms. Extensive bibliographies are included.




High Performance Visualization


Book Description

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi




Fundamentals of Data Visualization


Book Description

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