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Auflistung nach Autor:in "Mattig, Michael"

1 - 6 von 6
  • Konferenzbeitrag
    An Efficient Method for Exploratory Data Visualization of Big Spatial Data on Commodity Hardware
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) Beilschmidt, Christian; Mattig, Michael; Fober, Thomas; Seeger, Bernhard
    The exploratory and interactive visualization of big spatial data is becoming increasingly important in business, science, and many other application areas. In this paper, we discuss the Circle Merging Quadtree, an efficient method for aggregating and visualizing big spatial point data on commodity hardware.
  • Konferenzbeitrag
    Geo Engine: Workflow-backed Geo Data Portals
    (BTW 2023, 2023) Beilschmidt, Christian; Drönner, Johannes; Mattig, Michael; Schweitzer, Philip; Seeger, Bernhard
    Geo data portals play a key role in the distribution and exploitation of domain-specific geo data.While such portals are highly specialized, they share a number of common requirements that span from data access and processing to UI components.Geo Engine is able to provide all the necessary parts for portal building.We demonstrate this on a real data portal we built for the Dragonfly community.In addition, we show its general architecture and outline future improvements.
  • Konferenzbeitrag
    Interactive Data Exploration for Geoscience
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, 2017) Beilschmidt, Christian; Drönner, Johannes; Mattig, Michael; Schmidt, Marco; Authmann, Christian; Niamir, Aidin; Hickler, Thomas; Seeger, Bernhard
    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.
  • Konferenzbeitrag
    Rethinking Spatial Processing in Data-Intensive Science
    (Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2015) Authmann, Christian; Beilschmidt, Christian; Drönner, Johannes; Mattig, Michael; Seeger, Bernhard
    In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, analyze, and correlate large data sets in an interactive manner. We identify ten fundamental requirements for such a new type of processing system. They span from supporting spatial data types over using workflows for data lineage, to fast and flexible computations for exploratory analysis. Our study of related work looks at a range of established systems of different domains and shows significant drawbacks with respect to our requirements. We propose the Visualization, Aggregation \& Transformation system (VAT) as an architecture to overcome current limitations. It bases on standard software and implements performance-relevant parts using state-of-the-art technology like GPU computing. Our first comparison with other systems shows the validity of our approach.
  • Zeitschriftenartikel
    VAT: A Scientific Toolbox for Interactive Geodata Exploration
    (Datenbank-Spektrum: Vol. 17, No. 3, 2017) Beilschmidt, Christian; Drönner, Johannes; Mattig, Michael; Schmidt, Marco; Authmann, Christian; Niamir, Aidin; Hickler, Thomas; Seeger, Bernhard
    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.
  • Zeitschriftenartikel
    VAT: A System for Visualizing, Analyzing and Transforming Spatial Data in Science
    (Datenbank-Spektrum: Vol. 15, No. 3, 2015) Authmann, Christian; Beilschmidt, Christian; Drönner, Johannes; Mattig, Michael; Seeger, Bernhard
    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.