Interactive Data Exploration for Geoscience
| dc.contributor.author | Beilschmidt, Christian | |
| dc.contributor.author | Drönner, Johannes | |
| dc.contributor.author | Mattig, Michael | |
| dc.contributor.author | Schmidt, Marco | |
| dc.contributor.author | Authmann, Christian | |
| dc.contributor.author | Niamir, Aidin | |
| dc.contributor.author | Hickler, Thomas | |
| dc.contributor.author | Seeger, Bernhard | |
| dc.contributor.editor | Mitschang, Bernhard | |
| dc.contributor.editor | Nicklas, Daniela | |
| dc.contributor.editor | Leymann, Frank | |
| dc.contributor.editor | Schöning, Harald | |
| dc.contributor.editor | Herschel, Melanie | |
| dc.contributor.editor | Teubner, Jens | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Kopp, Oliver | |
| dc.contributor.editor | Wieland, Matthias | |
| dc.date.accessioned | 2017-06-21T11:24:36Z | |
| dc.date.available | 2017-06-21T11:24:36Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Data-driven research requires interactive systems supporting fast and intuitive data ex- ploration. An important component is the user interface that facilitates this process. In biodiversity research, data is commonly of spatio-temporal nature. This poses unique opportunities for visual analytics approaches. In this paper we present the core concepts of the web-based front end of our VAT (Visualization, Analysis and Transformation) system, a distributed geo-processing application. We present the results of a user study and highlight unique features for the management of time and the generalization of data. | en |
| dc.identifier.isbn | 978-3-88579-660-2 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-266 | |
| dc.subject | Visualization | |
| dc.subject | Biodiversity | |
| dc.subject | Scientific Workflows | |
| dc.title | Interactive Data Exploration for Geoscience | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 126 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 117 | |
| gi.conference.date | 6.-10. März 2017 | |
| gi.conference.location | Stuttgart | |
| gi.conference.sessiontitle | Workshop Big (and small) Data in Science and Humanities (BigDS17) |
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