3D Visualization and Visual Data Mining
With the recent development of supercomputers, large scale 3D space plasma simulations to study electromagnetic environments have become practicable. We obtain a variety of 3D phenomena and configurations from 3D numerical simulations. To analyze 3D numerical simulation data has a great importance o...
Uloženo v:
| Vydáno v: | Journal of the National Institute of Information and Communications Technology Ročník 56; číslo 1-4; s. 507 - 517 |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
01.03.2009
|
| Témata: | |
| ISSN: | 1349-3205 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | With the recent development of supercomputers, large scale 3D space plasma simulations to study electromagnetic environments have become practicable. We obtain a variety of 3D phenomena and configurations from 3D numerical simulations. To analyze 3D numerical simulation data has a great importance on the understanding of Earth's magnetospheric dynamics. However, it is difficult to analyze and understand 3D complex plasma phenomena or configurations. In particular, since magnetic field line's topology is strongly dependent on temporal and spatial change, it is not easy to understand time-dependent 3D configurations. In this paper, we discuss a various types of 3D visualization and Visual Data Mining(VDM) techniques to analyze the time-dependent change of magnetic field line's topology more effectively and efficiently. |
|---|---|
| Bibliografie: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 1349-3205 |