Data Visualization for Scientific Discoveries: Technological Integration and Innovative Practices

By Qian Liu and Wenling Li

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.

• Format: Hardcover
• Language: English
• ISBN: 9819827795
• ISBN13: 9789819827794
• Release Date: June 2026
• Publisher: World Scientific Publishing
• Length: 376 Pages
• Dimensions: 9.0" x 0.7" x 6.0"