Data Visualization for Scientific Discoveries
暫譯: 科學發現的數據視覺化

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.