Abstract | ||
---|---|---|
To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and types of techniques they use, we attempt to define the expected results of these activities. We argue that the main goal of doing visual analytics is to build a mental and/or formal model of a certain piece of reality reflected in data. The purpose of the model may be to understand, to forecast or to control this piece of reality. Based on this model-building perspective, we propose a detailed conceptual framework in which the visual analytics process is considered as a goal-oriented workflow producing a model as a result. We demonstrate how this framework can be used for performing an analytical survey of the visual analytics research field and identifying the directions and areas where further research is needed. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1111/cgf.13324 | COMPUTER GRAPHICS FORUM |
Keywords | Field | DocType |
visual analytics,visualization | Data science,Visualization,Computer science,Model building,Visual analytics,Theoretical computer science,Conceptual framework,Workflow | Journal |
Volume | Issue | ISSN |
37.0 | 6.0 | 0167-7055 |
Citations | PageRank | References |
16 | 0.62 | 43 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Natalia Andrienko | 1 | 2922 | 192.14 |
Tim Lammarsch | 2 | 132 | 10.06 |
Gennady Andrienko | 3 | 3106 | 208.19 |
Georg Fuchs | 4 | 137 | 11.85 |
Daniel A. Keim | 5 | 7704 | 1141.60 |
Silvia Miksch | 6 | 2212 | 174.85 |
Alexander Rind | 7 | 187 | 14.75 |