Demo Data from EDBT 2026 / reviewers in the wild / expert
Robert Hoffman
dblp:57/2541
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
ensemble visualization |
0.3 | 1 | 2018 | Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks · IEEE Trans. Vis. Comput. Graph. 2018 |
Visualization and visual analytics › scientific visualization › geoscience visualization
meteorological visualization |
0.3 | 1 | 2018 | Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks · IEEE Trans. Vis. Comput. Graph. 2018 |
Visualization and visual analytics
scientific visualization |
0.3 | 1 | 2018 | Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks · IEEE Trans. Vis. Comput. Graph. 2018 |
Visualization and visual analytics
visual analytics |
0.3 | 1 | 2018 | Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks · IEEE Trans. Vis. Comput. Graph. 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis TasksabstractThis article surveys the history and current state of the art of visualization in meteorology, focusing on visualization techniques and tools used for meteorological data analysis. We examine characteristics of meteorological data and analysis tasks, describe the development of computer graphics methods for visualization in meteorology from the 1960s to today, and visit the state of the art of visualization techniques and tools in operational weather forecasting and atmospheric research. We approach the topic from both the visualization and the meteorological side, showing visualization techniques commonly used in meteorological practice, and surveying recent studies in visualization research aimed at meteorological applications. Our overview covers visualization techniques from the fields of display design, 3D visualization, flow dynamics, feature-based visualization, comparative visualization and data fusion, uncertainty and ensemble visualization, interactive visual analysis, efficient rendering, and scalability and reproducibility. We discuss demands and challenges for visualization research targeting meteorological data analysis, highlighting aspects in demonstration of benefit, interactive visual analysis, seamless visualization, ensemble visualization, 3D visualization, and technical issues. Marc Rautenhaus, Michael Böttinger, Stephan Siemen, Robert Hoffman, Robert M. Kirby, Mahsa Mirzargar, Niklas Röber, Rüdiger Westermann |
IEEE Trans. Vis. Comput. Graph. | 4 |