VAT: A Scientific Toolbox for Interactive Geodata Exploration
| 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.date.accessioned | 2018-01-08T08:08:01Z | |
| dc.date.available | 2018-01-08T08:08:01Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Data-driven research requires interactive systems supporting fast and intuitive data exploration. 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 two user studies and highlight unique features, among others for the management of time and the generalization of data. | |
| dc.identifier.pissn | 1610-1995 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11024 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Datenbank-Spektrum: Vol. 17, No. 3 | |
| dc.relation.ispartofseries | Datenbank-Spektrum | |
| dc.subject | Biodiversity | |
| dc.subject | Scientific Workflows | |
| dc.subject | Visualization | |
| dc.title | VAT: A Scientific Toolbox for Interactive Geodata Exploration | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 243 | |
| gi.citation.startPage | 233 |