Data Visualization For Scientific Discoveries: Technological Integration And Innovative Practices
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A01=Qian Liu
A01=Wenling Li
Author_Qian Liu
Author_Wenling Li
Case Studies & Practical Applications
Category=UNC
Category=UYZF
Cognitive Translation
Data Acquisition & Preprocessing
Data-Driven Storytelling
Digital Media Technologies
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Ethics & Privacy in Data Visualization
forthcoming
Generative Science & Creative Visualization
Geoscience & Environmental Visualization
Human-Computer Interaction (HCI)
Interactive & Immersive Design
Interdisciplinary Integration
Life Sciences & Medical Visualization
Multidimensional Data Visualization
Multimodal Data Fusion
Network Data Visualization
Public Science Communication
Scientific Visualization
Spatial Data Visualization
Temporal Data Visualization
Virtual Reality (VR) Augmented Reality (AR)
Product details
- ISBN 9789819827794
- Publication Date: 25 Jun 2026
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
