Graphics Modeling and Visualization in Science and Technology

Graphics Modeling and Visualization in Science and Technology
Author: Martin Göbel
Publisher: Springer Science & Business Media
Total Pages: 285
Release: 2012-12-06
Genre: Computers
ISBN: 3642778119

The book reports on a workshop on Graphics Modeling and Visualization in scientific, engineering and technical applications. Visualization is known as the key technology to control massive data sets and to achieve insight into these tera bytes of data. Graphics Modeling is the enabling technology for advanced interaction. The papers report on applied visualization or basic research in modeling and visualization. Applications - using commercial or experimental visualization tools - cover the following fields: engineering and design, environmental research, material science, computational sciences, fluid dynamics and algorithmic visualization.

Graphics and Visualization

Graphics and Visualization
Author: T. Theoharis
Publisher: CRC Press
Total Pages: 786
Release: 2008-05-30
Genre: Computers
ISBN: 1568812744

This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers. What sets this book apart from other computer graphics texts is the integrated coverage of computer graphics and visualization topics, including important techniques such as subdivision and multi-resolution modeling, scene graphs, shadow generation, ambient occlusion, and scalar and vector data visualization. Students and practitioners will benefit from the comprehensive coverage of the principles that are the basic tools of their trade, from fundamental computer graphics and classic visualization techniques to advanced topics.

3D Scientific Visualization with Blender

3D Scientific Visualization with Blender
Author: Brian R. Kent
Publisher: Morgan & Claypool Publishers
Total Pages: 125
Release: 2014-04-01
Genre: Technology & Engineering
ISBN: 1627056130

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.

Visualization: Theory and Practice in Science Education

Visualization: Theory and Practice in Science Education
Author: John K. Gilbert
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2007-12-05
Genre: Education
ISBN: 1402052677

External representations (pictures, diagrams, graphs, concrete models) have always been valuable tools for the science teacher. This book brings together the insights of practicing scientists, science education researchers, computer specialists, and cognitive scientists, to produce a coherent overview. It links presentations about cognitive theory, its implications for science curriculum design, and for learning and teaching in classrooms and laboratories.

Innovative Approaches of Data Visualization and Visual Analytics

Innovative Approaches of Data Visualization and Visual Analytics
Author: Mao Lin Huang
Publisher: Information Science Reference
Total Pages: 0
Release: 2014
Genre: Electronic books
ISBN: 9781466643093

Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Graphics Modeling and Visualization in Science and Technology

Graphics Modeling and Visualization in Science and Technology
Author: Martin Göbel
Publisher: Springer
Total Pages: 263
Release: 1993-07-29
Genre: Computers
ISBN: 9783540559658

The book reports on a workshop on Graphics Modeling and Visualization in scientific, engineering and technical applications. Visualization is known as the key technology to control massive data sets and to achieve insight into these tera bytes of data. Graphics Modeling is the enabling technology for advanced interaction. The papers report on applied visualization or basic research in modeling and visualization. Applications - using commercial or experimental visualization tools - cover the following fields: engineering and design, environmental research, material science, computational sciences, fluid dynamics and algorithmic visualization.

Visualization in Science Education

Visualization in Science Education
Author: John K. Gilbert
Publisher: Springer Science & Business Media
Total Pages: 396
Release: 2005-07-05
Genre: Education
ISBN: 9781402036125

Visualization, meaning both the perception of an object that is seen or touched and the mental imagery that is the product of that perception, is believed to be a major strategy in all thought. It is particularly important in science, which seeks causal explanations for phenomena in the world-as-experienced. Visualization must therefore play a major role in science education. This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. ‘Visualization in Science Education’ draws on the insights from cognitive psychology, science, and education, by experts from Australia, Israel, Slovenia, UK, and USA. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages, especially in chemistry. The first section explores the significance and intellectual standing of visualization. The second section shows how the skills of visualization have been developed practically in science education. This is followed by accounts of how the educational value of visualization has been integrated into university courses in physics, genomics, and geology. The fourth section documents experimental work on the classroom assessment of visualization. An endpiece summarises some of the research and development needed if the contribution of this set of universal skills is to be fully exploited at all levels and in all science subjects.

State of the Art in Computer Graphics

State of the Art in Computer Graphics
Author: David F. Rogers
Publisher: Springer
Total Pages: 253
Release: 2013-09-11
Genre: Computers
ISBN: 9781461287322

State of the Art in Computer Graphics Aspects of Visualization This is the fourth volume derived from a State of . . . the Art in Computer Graphics Summer Institute. It represents a snapshot of a number of topics in computer graphics, topics which include visualization of scientific data; modeling; some aspects of visualization in virtual reality; and hardware architectures for visu alization. Many papers first present a background introduction to the topic, followed by discussion of current work in the topic. The volume is thus equally suitable for nonspecialists in a particular area, and for the more experienced researcher in the field. It also enables general readers to obtain an acquaintance with a particular topic area sufficient to apply that knowledge in the context of solving current problems. The volume is organized into four chapters - Visualization of Data, Modeling, Virtual Reality Techniques, and Hardware Architectures for Visualization. In the first chapter, Val Watson and Pamela Walatka address the visual aspects of fluid dynamic computations. They discuss algorithms for function-mapped surfaces and cutting planes, isosurfaces, particle traces, and topology extractions. They point out that current visualization systems are limited by low information transfer bandwidth, poor response to viewing and model accuracy modification requests, mismatches between model rendering and human cognitive capabilities, and ineffective interactive tools. However, Watson and Walatka indicate that proposed systems will correct most of these problems.

Graphical Thinking for Science and Technology Through Knowledge Visualization

Graphical Thinking for Science and Technology Through Knowledge Visualization
Author: Ursyn, Anna
Publisher: IGI Global
Total Pages: 374
Release: 2019-11-22
Genre: Computers
ISBN: 1799816532

With the advancement of technology in the modern world, the constant influx of data, information, and computing can become droning and one-dimensional. Re-examining these methods through a different approach helps highlight broader perspectives and further understanding. Applying abstract and holistic methods, such as nature and visualization, to computing technologies is a developing area of study but has yet to be empirically researched. Graphical Thinking for Science and Technology Through Knowledge Visualization provides emerging research exploring the theoretical and practical aspects of implementing visuals and images within data and information. The text contains projects, examples of students’ solutions, and invites the reader to apply graphical thinking. Featuring coverage on a broad range of topics such as nanoscale structures, computer graphics, and data visualization, this book is ideally designed for software engineers, instructional designers, researchers, scientists, artists, marketers, media professionals, and students seeking current research on applying artistic solutions within information and computing.

Beautiful Data

Beautiful Data
Author: Toby Segaran
Publisher: "O'Reilly Media, Inc."
Total Pages: 386
Release: 2009-07-14
Genre: Computers
ISBN: 144937929X

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran