Name
Abstract | ||
|---|---|---|
This article presents a visualization-assisted process that verifies scientific-simulation codes. Code verification is necessary because scientists require accurate predictions to interpret data confidently. This verification process integrates iterative hypothesis verification with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/MCG.2010.100 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
iterative methods,feature detection,atmospheric modeling,hypothesis testing,meteorology,computational modeling,visualization,data visualization,environmental science,space,process integration,computer graphic,accuracy,data interpretation,computer graphics,data visualisation,hypothesis test | Computer vision,Data mining,Data visualization,Numerical models,Computer science,Iterative method,Data interpretation,Visualization,Artificial intelligence,Hypothesis verification,Computer graphics,Statistical hypothesis testing | Journal |
Volume | Issue | ISSN |
30 | 6 | 0272-1716 |
Citations | PageRank | References |
10 | 0.64 | 6 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| James Ahrens | 1 | 233 | 35.07 |
| Katrin Heitmann | 2 | 144 | 14.49 |
| Mark Petersen | 3 | 13 | 3.33 |
| Jonathan Woodring | 4 | 219 | 11.08 |
| Sean Williams | 5 | 19 | 2.30 |
| Patricia K. Fasel | 6 | 46 | 6.46 |
| Christine Ahrens | 7 | 21 | 2.06 |
| Chung-Hsing Hsu | 8 | 719 | 45.47 |
| Berk Geveci | 9 | 277 | 20.83 |