Burkhardt, Dirk ; Nazemi, Kawa ; Stab, Christian ; Steiger, Martin ; Kuijper, Arjan ; Kohlhammer, Jörn (2013)
Visual Statistics Cockpits for Information Gathering in the Policy-Making Process.
Advances in Visual Computing. 9th International Symposium, ISVC 2013.
doi: 10.1007/978-3-642-41939-3_9
Conference or Workshop Item
Abstract
A major step in ICT-driven policy making is information gathering. During this phase, analysts and experts have to deal with a high number of statistical data which they use as a basis to identify problems and find appropriate solutions. This paper introduces a statistical data model to support these analysts and experts. It allows for handling the complexity (i.e. the dimensions) of the data for the visualizations. In particular, it helps to use the same data for two-dimensional, but also multi-dimensional statistics visualizations. Based on this statistic data model we introduce an interactive approach of visual statistics cockpits. This results in highly interactive statistics visualization cockpits that enable both analysts and experts to improve problem assessment and solution finding.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2013 |
| Creators: | Burkhardt, Dirk ; Nazemi, Kawa ; Stab, Christian ; Steiger, Martin ; Kuijper, Arjan ; Kohlhammer, Jörn |
| Type of entry: | Bibliographie |
| Title: | Visual Statistics Cockpits for Information Gathering in the Policy-Making Process |
| Language: | English |
| Date: | 2013 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Series: | Lecture Notes in Computer Science (LNCS); 8034 |
| Event Title: | Advances in Visual Computing. 9th International Symposium, ISVC 2013 |
| DOI: | 10.1007/978-3-642-41939-3_9 |
| Abstract: | A major step in ICT-driven policy making is information gathering. During this phase, analysts and experts have to deal with a high number of statistical data which they use as a basis to identify problems and find appropriate solutions. This paper introduces a statistical data model to support these analysts and experts. It allows for handling the complexity (i.e. the dimensions) of the data for the visualizations. In particular, it helps to use the same data for two-dimensional, but also multi-dimensional statistics visualizations. Based on this statistic data model we introduce an interactive approach of visual statistics cockpits. This results in highly interactive statistics visualization cockpits that enable both analysts and experts to improve problem assessment and solution finding. |
| Uncontrolled Keywords: | Adaptive visualization, Information visualization, User-centered interaction, Process-driven visualization |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum