VAT: A System for Visualizing, Analyzing and Transforming Spatial Data in Science
| dc.contributor.author | Authmann, Christian | |
| dc.contributor.author | Beilschmidt, Christian | |
| dc.contributor.author | Drönner, Johannes | |
| dc.contributor.author | Mattig, Michael | |
| dc.contributor.author | Seeger, Bernhard | |
| dc.date.accessioned | 2018-01-10T13:20:19Z | |
| dc.date.available | 2018-01-10T13:20:19Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | The amount of available data changes the style of research in geo-scientific domains, and thus influences the requirements for spatial processing systems. To support data-driven research and exploratory workflows, we propose the Visualization, Analysis & Transformation system (VAT). We first identify ten fundamental requirements, which span from supporting spatial data types over low latency computations to visualization techniques. Based on these we evaluate state-of-the-art systems from the domains of spatial frameworks, GIS, workflow systems, scientific databases and Big Data solutions. The goal of the VAT system is to overcome the identified limitations by a holistic approach to raster and vector data, demand-driven and tiled processing, and the efficient usage of heterogeneous hardware architectures. A first comparison with other systems shows the validity of our approach. | |
| dc.identifier.pissn | 1610-1995 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11760 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Datenbank-Spektrum: Vol. 15, No. 3 | |
| dc.relation.ispartofseries | Datenbank-Spektrum | |
| dc.title | VAT: A System for Visualizing, Analyzing and Transforming Spatial Data in Science | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 184 | |
| gi.citation.startPage | 175 |