Data Visualization for Scientific Discoveries provides innovative, practical methods, including dynamic graphics engines, interactive storytelling, and AI-generated content, to visualize multi-source, high-dimensional data more effectively. Authored by experts in art technology and educational psychology, the text presents data-validated methods for accelerating both discovery and public engagement. It offers a complete five-step workflow with case studies from reputable organizations like NASA and CERN, showcasing how solutions like Virtual Reality (VR) can boost anomaly detection and improve public climate awareness.
This essential resource is ideal for researchers, data scientists, digital media professionals, and educators seeking a definitive guide for sophisticated scientific data visualization across various fields of study. It is also an excellent textbook for advanced undergraduate- and graduate-level courses on scientific data visualization, scientific information design/ management, and advanced applied computer graphics.
By:
Qian Liu (Xi'an Jiaotong-liverpool University China), Wenling Li (Xi'an Eurasia University, China) Imprint: World Scientific Publishing Co Pte Ltd Country of Publication: Singapore ISBN:9789819827794 ISBN 10: 9819827795 Pages: 536 Publication Date:28 May 2026 Audience:
College/higher education
,
Professional and scholarly
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Primary
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Undergraduate
Format:Hardback Publisher's Status: Postponed Indefinitley