LOGiN PANeL

«    November 2026    »
MoTuWeThFrSaSu
 1
2345678
9101112131415
16171819202122
23242526272829
30 
PoLL





eBooks Tutorials Templates Plugins Scripts Applications GFX Collections SCRiPTMAFiA.ORG
LaST oN NULLeD.org
XML error in File: https://nulled.org/rss.xml XML error: Entity 'bull' not defined at line 68

RSS
RSS

FRiENDS
Nulled.org Software 8TM URL Shortener Forex Trading Crypto Trading {sape_teaser}



Data Visualization For Scientific Discoveries Technological Integration And Innovative Practices

Category: eBooks



Data Visualization For Scientific Discoveries Technological Integration And Innovative Practices

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).



   
   
   


Forex Trading

Crypto Trading. 20 USD Bonus after KYC




We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm





 

Information

 
  Users of GUESTS are not allowed to comment this publication.