Data Visualization For Scientific Discoveries Technological Integration And Innovative Practices

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Data Visualization For Scientific Discoveries Technological Integration And Innovative Practices | 901.52 KB

Title: Data Visualization For Scientific Discoveries Technological Integration And Innovative Practices
Author: Qian Liu, Wenling Li
Category: Database Management, Application Software
Language: English | 513 Pages | ISBN: 9789819827817

Description:

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.

Readership:   For advanced undergraduate and graduate students, researchers, data scientists, digital media professionals, and educators seeking a definitive guide for sophisticated scientific data visualization across various fields of study (i.e. life science, medical research, environmental science, geology, climate sciences, etc.); Suitable as an advanced textbook for courses on scientific data visualization, scientific information design/ management, advanced applied computer graphics, and other specialized courses in domain-specific departments (e.g., 'Geospatial Visualization' in Earth Science, 'Medical Imaging Analysis' in Biomedicine).

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