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
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Burkhardt, Dirk ; Nazemi, Kawa ; Stab, Christian ; Steiger, Martin ; Kuijper, Arjan ; Kohlhammer, Jörn |
| Art des Eintrags: | Bibliographie |
| Titel: | Visual Statistics Cockpits for Information Gathering in the Policy-Making Process |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 8034 |
| Veranstaltungstitel: | Advances in Visual Computing. 9th International Symposium, ISVC 2013 |
| DOI: | 10.1007/978-3-642-41939-3_9 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Adaptive visualization, Information visualization, User-centered interaction, Process-driven visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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