Challenges in Visual Analysis of Ensembles
| Autor: | Patricia Crossno |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Visual analytics Computer science business.industry 020207 software engineering 02 engineering and technology Machine learning computer.software_genre 01 natural sciences Computer Graphics and Computer-Aided Design Visualization Data modeling Computer graphics Data visualization Face (geometry) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Artificial intelligence Time series business computer Software |
| Zdroj: | IEEE Computer Graphics and Applications. 38:122-131 |
| ISSN: | 1558-1756 0272-1716 |
| Popis: | Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. This article explores the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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