BigGIS

Predicative and prescriptive geographic information systems based on high-dimensional geo-temporal data structures

In the project BigGIS, a new generation of GIS is developed and researched, which supports decisions in various scenarios, by means of new mechanisms and on the basis of large amounts of heterogeneous data, better and faster. The innovation lies in the comprehensive cooperation of time and space in the analysis, the consideration of significantly larger amounts of even unstructured and unreliable amounts of data and a continuous processing pipeline, which supports not only descriptive but also predictive and prescriptive as well as visual analyses. In the three application scenarios "Civil Protection", "Environment" and "Smart City and Health", prototypical problems are addressed and solutions are elaborated, empirically validated as well as further developed.

Project objectives

Research, evaluation and demonstration of a new generation of GIS

  • Heterogeneous geo-temporal data
  • Comprehensive consideration of time and space in the analysis
  • Unstructured and unreliable amounts of data
  • Continuous processing pipeline for predicative, prescriptive and visual analyses

Scenarios

  • Smart city and health (urban heat islands, fine dust)
  • Environmental management (noxious animals/plants)
  • Civil protection (air/poison gas)

Project partners

  • FZI Research Center for Information Technology
  • University of Konstanz
  • Karlsruhe University of Applied Sciences
  • Disy Informationssysteme GmbH
  • EXASOL AG
  • EFTAS Fernerkundung Technologietransfer GmbH
  • State Institute for Environment, Measurements and Nature Conservation Baden-Württemberg (LUBW)

Associated partners

  • THW Karlsruhe
  • City of Karlsruhe

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