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Concise introduction to scientific visualization : past, present, and future

By: Hollister, Brad Eric.
Contributor(s): Pang, Alex.
Publisher: Cham : Springer, 2022Description: VII, 107 p. ; ill., 24 cm.ISBN: 9783030864187.Subject(s): Visual analytics | ANNs | Computer Graphics | Crystallography | Ensemble | Finite-Time Variance Analysis (FTVA) | Glyphs | Hyperboloids | Isosurface | Minimum Spanning Tree (MST) | Lightng | Greek astronomy | Samerian pictograph | Leonardo Da VinciDDC classification: 001.4226 Summary: 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.
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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.

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